Writing encoded data slices in a dispersed storage network

ABSTRACT

A computing device of a dispersed storage network (DSN) includes a memory, interface and a processing module operable to identify an encoded data slice of the set of encoded data slices to produce an identified encoded data slice. The processing module generates a set of first write requests regarding the set of encoded data slices less the identified encoded data slice, and generates a set of second write requests regarding the identified encoded data slice. The set of second write requests include the identified encoded data slice and replications of the identified encoded data slice. The processing module sends the set of first write requests to storage units of the DSN, and sends the set of second write requests to a set of storage units of the DSN, where each storage unit of the set of storage units is sent a corresponding one of the set of second write requests.

CROSS REFERENCE TO RELATED PATENTS

The present U.S. Utility Patent Application claims priority pursuant to 35 U.S.C. §120 as a continuation of U.S. Utility application Ser. No. 14/570,366, entitled “WRITING ENCODED DATA SLICES IN A DISPERSED STORAGE NETWORK,” filed Dec. 15, 2014, which claims priority pursuant to 35 U.S.C. §119(e) to U.S. Provisional Application No. 61/934,036, entitled “UTILIZING STORAGE SLOTS IN A DISPERSED STORAGE NETWORK”, filed Jan. 31, 2014, both of which are hereby incorporated herein by reference in their entirety and made part of the present U.S. Utility Patent Application for all purposes.

STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not applicable

INCORPORATION-BY-REFERENCE OF MATERIAL SUBMITTED ON A COMPACT DISC

Not applicable

BACKGROUND OF THE INVENTION Technical Field of the Invention

This invention relates generally to computer networks and more particularly to dispersed storage of data and distributed task processing of data.

Description of Related Art

Computing devices are known to communicate data, process data, and/or store data. Such computing devices range from wireless smart phones, laptops, tablets, personal computers (PC), work stations, and video game devices, to data centers that support millions of web searches, stock trades, or on-line purchases every day. In general, a computing device includes a central processing unit (CPU), a memory system, user input/output interfaces, peripheral device interfaces, and an interconnecting bus structure.

As is further known, a computer may effectively extend its CPU by using “cloud computing” to perform one or more computing functions (e.g., a service, an application, an algorithm, an arithmetic logic function, etc.) on behalf of the computer. Further, for large services, applications, and/or functions, cloud computing may be performed by multiple cloud computing resources in a distributed manner to improve the response time for completion of the service, application, and/or function. For example, Hadoop is an open source software framework that supports distributed applications enabling application execution by thousands of computers.

In addition to cloud computing, a computer may use “cloud storage” as part of its memory system. As is known, cloud storage enables a user, via its computer, to store files, applications, etc., on an Internet storage system. The Internet storage system may include a RAID (redundant array of independent disks) system and/or a dispersed storage system that uses an error correction scheme to encode data for storage.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWING(S)

FIG. 1 is a schematic block diagram of an embodiment of a distributed computing system in accordance with the present invention;

FIG. 2 is a schematic block diagram of an embodiment of a computing core in accordance with the present invention;

FIG. 3 is a diagram of an example of a distributed storage and task processing in accordance with the present invention;

FIG. 4 is a schematic block diagram of an embodiment of an outbound distributed storage and/or task (DST) processing in accordance with the present invention;

FIG. 5 is a logic diagram of an example of a method for outbound DST processing in accordance with the present invention;

FIG. 6 is a schematic block diagram of an embodiment of a dispersed error encoding in accordance with the present invention;

FIG. 7 is a diagram of an example of a segment processing of the dispersed error encoding in accordance with the present invention;

FIG. 8 is a diagram of an example of error encoding and slicing processing of the dispersed error encoding in accordance with the present invention;

FIG. 9 is a diagram of an example of grouping selection processing of the outbound DST processing in accordance with the present invention;

FIG. 10 is a diagram of an example of converting data into slice groups in accordance with the present invention;

FIG. 11 is a schematic block diagram of an embodiment of a DST execution unit in accordance with the present invention;

FIG. 12 is a schematic block diagram of an example of operation of a DST execution unit in accordance with the present invention;

FIG. 13 is a schematic block diagram of an embodiment of an inbound distributed storage and/or task (DST) processing in accordance with the present invention;

FIG. 14 is a logic diagram of an example of a method for inbound DST processing in accordance with the present invention;

FIG. 15 is a diagram of an example of de-grouping selection processing of the inbound DST processing in accordance with the present invention;

FIG. 16 is a schematic block diagram of an embodiment of a dispersed error decoding in accordance with the present invention;

FIG. 17 is a diagram of an example of de-slicing and error decoding processing of the dispersed error decoding in accordance with the present invention;

FIG. 18 is a diagram of an example of a de-segment processing of the dispersed error decoding in accordance with the present invention;

FIG. 19 is a diagram of an example of converting slice groups into data in accordance with the present invention;

FIG. 20 is a diagram of an example of a distributed storage within the distributed computing system in accordance with the present invention;

FIG. 21 is a schematic block diagram of an example of operation of outbound distributed storage and/or task (DST) processing for storing data in accordance with the present invention;

FIG. 22 is a schematic block diagram of an example of a dispersed error encoding for the example of FIG. 21 in accordance with the present invention;

FIG. 23 is a diagram of an example of converting data into pillar slice groups for storage in accordance with the present invention;

FIG. 24 is a schematic block diagram of an example of a storage operation of a DST execution unit in accordance with the present invention;

FIG. 25 is a schematic block diagram of an example of operation of inbound distributed storage and/or task (DST) processing for retrieving dispersed error encoded data in accordance with the present invention;

FIG. 26 is a schematic block diagram of an example of a dispersed error decoding for the example of FIG. 25 in accordance with the present invention;

FIG. 27 is a schematic block diagram of an example of a distributed storage and task processing network (DSTN) module storing a plurality of data and a plurality of task codes in accordance with the present invention;

FIG. 28 is a schematic block diagram of an example of the distributed computing system performing tasks on stored data in accordance with the present invention;

FIG. 29 is a schematic block diagram of an embodiment of a task distribution module facilitating the example of FIG. 28 in accordance with the present invention;

FIG. 30 is a diagram of a specific example of the distributed computing system performing tasks on stored data in accordance with the present invention;

FIG. 31 is a schematic block diagram of an example of a distributed storage and task processing network (DSTN) module storing data and task codes for the example of FIG. 30 in accordance with the present invention;

FIG. 32 is a diagram of an example of DST allocation information for the example of FIG. 30 in accordance with the present invention;

FIGS. 33-38 are schematic block diagrams of the DSTN module performing the example of FIG. 30 in accordance with the present invention;

FIG. 39 is a diagram of an example of combining result information into final results for the example of FIG. 30 in accordance with the present invention;

FIGS. 40A-D are schematic block diagrams of an embodiment of a dispersed storage network (DSN) illustrating an example of storing data in accordance with the present invention;

FIG. 40E is a flowchart illustrating an example of storing data in accordance with the present invention;

FIG. 41A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) in accordance with the present invention;

FIG. 41B is a flowchart illustrating an example of determining missing slices in accordance with the present invention;

FIG. 42A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) in accordance with the present invention;

FIG. 42B is a flowchart illustrating an example of detecting errors in accordance with the present invention;

FIG. 43A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) in accordance with the present invention;

FIG. 43B is a flowchart illustrating an example of selecting storage resources in accordance with the present invention;

FIG. 44A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) in accordance with the present invention;

FIG. 44B is a flowchart illustrating an example of retrieving data in accordance with the present invention;

FIGS. 45A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating another example of storing data in accordance with the present invention;

FIG. 45C is a flowchart illustrating another example of storing data in accordance with the present invention;

FIG. 46A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) in accordance with the present invention;

FIG. 46B is a flowchart illustrating another example of storing data in accordance with the present invention;

FIGS. 47A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating an example of optimizing storage of data in accordance with the present invention;

FIG. 47C is a flowchart illustrating an example of optimizing storage of data in accordance with the present invention;

FIGS. 48A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating another example of storing data in accordance with the present invention; and

FIG. 48C is a flowchart illustrating another example of storing data in accordance with the present invention.

DETAILED DESCRIPTION OF THE INVENTION

FIG. 1 is a schematic block diagram of an embodiment of a distributed computing system 10 that includes a user device 12 and/or a user device 14, a distributed storage and/or task (DST) processing unit 16, a distributed storage and/or task network (DSTN) managing unit 18, a DST integrity processing unit 20, and a distributed storage and/or task network (DSTN) module 22. The components of the distributed computing system 10 are coupled via a network 24, which may include one or more wireless and/or wire lined communication systems; one or more private intranet systems and/or public internet systems; and/or one or more local area networks (LAN) and/or wide area networks (WAN).

The DSTN module 22 includes a plurality of distributed storage and/or task (DST) execution units 36 that may be located at geographically different sites (e.g., one in Chicago, one in Milwaukee, etc.). Each of the DST execution units is operable to store dispersed error encoded data and/or to execute, in a distributed manner, one or more tasks on data. The tasks may be a simple function (e.g., a mathematical function, a logic function, an identify function, a find function, a search engine function, a replace function, etc.), a complex function (e.g., compression, human and/or computer language translation, text-to-voice conversion, voice-to-text conversion, etc.), multiple simple and/or complex functions, one or more algorithms, one or more applications, etc.

Each of the user devices 12-14, the DST processing unit 16, the DSTN managing unit 18, and the DST integrity processing unit 20 include a computing core 26 and may be a portable computing device and/or a fixed computing device. A portable computing device may be a social networking device, a gaming device, a cell phone, a smart phone, a personal digital assistant, a digital music player, a digital video player, a laptop computer, a handheld computer, a tablet, a video game controller, and/or any other portable device that includes a computing core. A fixed computing device may be a personal computer (PC), a computer server, a cable set-top box, a satellite receiver, a television set, a printer, a fax machine, home entertainment equipment, a video game console, and/or any type of home or office computing equipment. User device 12 and DST processing unit 16 are configured to include a DST client module 34.

With respect to interfaces, each interface 30, 32, and 33 includes software and/or hardware to support one or more communication links via the network 24 indirectly and/or directly. For example, interface 30 supports a communication link (e.g., wired, wireless, direct, via a LAN, via the network 24, etc.) between user device 14 and the DST processing unit 16. As another example, interface 32 supports communication links (e.g., a wired connection, a wireless connection, a LAN connection, and/or any other type of connection to/from the network 24) between user device 12 and the DSTN module 22 and between the DST processing unit 16 and the DSTN module 22. As yet another example, interface 33 supports a communication link for each of the DSTN managing unit 18 and DST integrity processing unit 20 to the network 24.

The distributed computing system 10 is operable to support dispersed storage (DS) error encoded data storage and retrieval, to support distributed task processing on received data, and/or to support distributed task processing on stored data. In general and with respect to DS error encoded data storage and retrieval, the distributed computing system 10 supports three primary operations: storage management, data storage and retrieval (an example of which will be discussed with reference to FIGS. 20-26), and data storage integrity verification. In accordance with these three primary functions, data can be encoded, distributedly stored in physically different locations, and subsequently retrieved in a reliable and secure manner. Such a system is tolerant of a significant number of failures (e.g., up to a failure level, which may be greater than or equal to a pillar width minus a decode threshold minus one) that may result from individual storage device failures and/or network equipment failures without loss of data and without the need for a redundant or backup copy. Further, the system allows the data to be stored for an indefinite period of time without data loss and does so in a secure manner (e.g., the system is very resistant to attempts at hacking the data).

The second primary function (i.e., distributed data storage and retrieval) begins and ends with a user device 12-14. For instance, if a second type of user device 14 has data 40 to store in the DSTN module 22, it sends the data 40 to the DST processing unit 16 via its interface 30. The interface 30 functions to mimic a conventional operating system (OS) file system interface (e.g., network file system (NFS), flash file system (FFS), disk file system (DFS), file transfer protocol (FTP), web-based distributed authoring and versioning (WebDAV), etc.) and/or a block memory interface (e.g., small computer system interface (SCSI), internet small computer system interface (iSCSI), etc.). In addition, the interface 30 may attach a user identification code (ID) to the data 40.

To support storage management, the DSTN managing unit 18 performs DS management services. One such DS management service includes the DSTN managing unit 18 establishing distributed data storage parameters (e.g., vault creation, distributed storage parameters, security parameters, billing information, user profile information, etc.) for a user device 12-14 individually or as part of a group of user devices. For example, the DSTN managing unit 18 coordinates creation of a vault (e.g., a virtual memory block) within memory of the DSTN module 22 for a user device, a group of devices, or for public access and establishes per vault dispersed storage (DS) error encoding parameters for a vault. The DSTN managing unit 18 may facilitate storage of DS error encoding parameters for each vault of a plurality of vaults by updating registry information for the distributed computing system 10. The facilitating includes storing updated registry information in one or more of the DSTN module 22, the user device 12, the DST processing unit 16, and the DST integrity processing unit 20.

The DS error encoding parameters (e.g., or dispersed storage error coding parameters) include data segmenting information (e.g., how many segments data (e.g., a file, a group of files, a data block, etc.) is divided into), segment security information (e.g., per segment encryption, compression, integrity checksum, etc.), error coding information (e.g., pillar width, decode threshold, read threshold, write threshold, etc.), slicing information (e.g., the number of encoded data slices that will be created for each data segment); and slice security information (e.g., per encoded data slice encryption, compression, integrity checksum, etc.).

The DSTN managing unit 18 creates and stores user profile information (e.g., an access control list (ACL)) in local memory and/or within memory of the DSTN module 22. The user profile information includes authentication information, permissions, and/or the security parameters. The security parameters may include encryption/decryption scheme, one or more encryption keys, key generation scheme, and/or data encoding/decoding scheme.

The DSTN managing unit 18 creates billing information for a particular user, a user group, a vault access, public vault access, etc. For instance, the DSTN managing unit 18 tracks the number of times a user accesses a private vault and/or public vaults, which can be used to generate a per-access billing information. In another instance, the DSTN managing unit 18 tracks the amount of data stored and/or retrieved by a user device and/or a user group, which can be used to generate a per-data-amount billing information.

Another DS management service includes the DSTN managing unit 18 performing network operations, network administration, and/or network maintenance. Network operations includes authenticating user data allocation requests (e.g., read and/or write requests), managing creation of vaults, establishing authentication credentials for user devices, adding/deleting components (e.g., user devices, DST execution units, and/or DST processing units) from the distributed computing system 10, and/or establishing authentication credentials for DST execution units 36. Network administration includes monitoring devices and/or units for failures, maintaining vault information, determining device and/or unit activation status, determining device and/or unit loading, and/or determining any other system level operation that affects the performance level of the system 10. Network maintenance includes facilitating replacing, upgrading, repairing, and/or expanding a device and/or unit of the system 10.

To support data storage integrity verification within the distributed computing system 10, the DST integrity processing unit 20 performs rebuilding of ‘bad’ or missing encoded data slices. At a high level, the DST integrity processing unit 20 performs rebuilding by periodically attempting to retrieve/list encoded data slices, and/or slice names of the encoded data slices, from the DSTN module 22. For retrieved encoded slices, they are checked for errors due to data corruption, outdated version, etc. If a slice includes an error, it is flagged as a ‘bad’ slice. For encoded data slices that were not received and/or not listed, they are flagged as missing slices. Bad and/or missing slices are subsequently rebuilt using other retrieved encoded data slices that are deemed to be good slices to produce rebuilt slices. The rebuilt slices are stored in memory of the DSTN module 22. Note that the DST integrity processing unit 20 may be a separate unit as shown, it may be included in the DSTN module 22, it may be included in the DST processing unit 16, and/or distributed among the DST execution units 36.

To support distributed task processing on received data, the distributed computing system 10 has two primary operations: DST (distributed storage and/or task processing) management and DST execution on received data (an example of which will be discussed with reference to FIGS. 3-19). With respect to the storage portion of the DST management, the DSTN managing unit 18 functions as previously described. With respect to the tasking processing of the DST management, the DSTN managing unit 18 performs distributed task processing (DTP) management services. One such DTP management service includes the DSTN managing unit 18 establishing DTP parameters (e.g., user-vault affiliation information, billing information, user-task information, etc.) for a user device 12-14 individually or as part of a group of user devices.

Another DTP management service includes the DSTN managing unit 18 performing DTP network operations, network administration (which is essentially the same as described above), and/or network maintenance (which is essentially the same as described above). Network operations include, but are not limited to, authenticating user task processing requests (e.g., valid request, valid user, etc.), authenticating results and/or partial results, establishing DTP authentication credentials for user devices, adding/deleting components (e.g., user devices, DST execution units, and/or DST processing units) from the distributed computing system, and/or establishing DTP authentication credentials for DST execution units.

To support distributed task processing on stored data, the distributed computing system 10 has two primary operations: DST (distributed storage and/or task) management and DST execution on stored data. With respect to the DST execution on stored data, if the second type of user device 14 has a task request 38 for execution by the DSTN module 22, it sends the task request 38 to the DST processing unit 16 via its interface 30. An example of DST execution on stored data will be discussed in greater detail with reference to FIGS. 27-39. With respect to the DST management, it is substantially similar to the DST management to support distributed task processing on received data.

FIG. 2 is a schematic block diagram of an embodiment of a computing core 26 that includes a processing module 50, a memory controller 52, main memory 54, a video graphics processing unit 55, an input/output (IO) controller 56, a peripheral component interconnect (PCI) interface 58, an IO interface module 60, at least one IO device interface module 62, a read only memory (ROM) basic input output system (BIOS) 64, and one or more memory interface modules. The one or more memory interface module(s) includes one or more of a universal serial bus (USB) interface module 66, a host bus adapter (HBA) interface module 68, a network interface module 70, a flash interface module 72, a hard drive interface module 74, and a DSTN interface module 76.

The DSTN interface module 76 functions to mimic a conventional operating system (OS) file system interface (e.g., network file system (NFS), flash file system (FFS), disk file system (DFS), file transfer protocol (FTP), web-based distributed authoring and versioning (WebDAV), etc.) and/or a block memory interface (e.g., small computer system interface (SCSI), internet small computer system interface (iSCSI), etc.). The DSTN interface module 76 and/or the network interface module 70 may function as the interface 30 of the user device 14 of FIG. 1. Further note that the IO device interface module 62 and/or the memory interface modules may be collectively or individually referred to as IO ports.

FIG. 3 is a diagram of an example of the distributed computing system performing a distributed storage and task processing operation. The distributed computing system includes a DST (distributed storage and/or task) client module 34 (which may be in user device 14 and/or in DST processing unit 16 of FIG. 1), a network 24, a plurality of DST execution units 1-n that includes two or more DST execution units 36 of FIG. 1 (which form at least a portion of DSTN module 22 of FIG. 1), a DST managing module (not shown), and a DST integrity verification module (not shown). The DST client module 34 includes an outbound DST processing section 80 and an inbound DST processing section 82. Each of the DST execution units 1-n includes a controller 86, a processing module 84, memory 88, a DT (distributed task) execution module 90, and a DST client module 34.

In an example of operation, the DST client module 34 receives data 92 and one or more tasks 94 to be performed upon the data 92. The data 92 may be of any size and of any content, where, due to the size (e.g., greater than a few Terabytes), the content (e.g., secure data, etc.), and/or task(s) (e.g., MIPS intensive), distributed processing of the task(s) on the data is desired. For example, the data 92 may be one or more digital books, a copy of a company's emails, a large-scale Internet search, a video security file, one or more entertainment video files (e.g., television programs, movies, etc.), data files, and/or any other large amount of data (e.g., greater than a few Terabytes).

Within the DST client module 34, the outbound DST processing section 80 receives the data 92 and the task(s) 94. The outbound DST processing section 80 processes the data 92 to produce slice groupings 96. As an example of such processing, the outbound DST processing section 80 partitions the data 92 into a plurality of data partitions. For each data partition, the outbound DST processing section 80 dispersed storage (DS) error encodes the data partition to produce encoded data slices and groups the encoded data slices into a slice grouping 96. In addition, the outbound DST processing section 80 partitions the task 94 into partial tasks 98, where the number of partial tasks 98 may correspond to the number of slice groupings 96.

The outbound DST processing section 80 then sends, via the network 24, the slice groupings 96 and the partial tasks 98 to the DST execution units 1-n of the DSTN module 22 of FIG. 1. For example, the outbound DST processing section 80 sends slice group 1 and partial task 1 to DST execution unit 1. As another example, the outbound DST processing section 80 sends slice group #n and partial task #n to DST execution unit #n.

Each DST execution unit performs its partial task 98 upon its slice group 96 to produce partial results 102. For example, DST execution unit #1 performs partial task #1 on slice group #1 to produce a partial result #1, for results. As a more specific example, slice group #1 corresponds to a data partition of a series of digital books and the partial task #1 corresponds to searching for specific phrases, recording where the phrase is found, and establishing a phrase count. In this more specific example, the partial result #1 includes information as to where the phrase was found and includes the phrase count.

Upon completion of generating their respective partial results 102, the DST execution units send, via the network 24, their partial results 102 to the inbound DST processing section 82 of the DST client module 34. The inbound DST processing section 82 processes the received partial results 102 to produce a result 104. Continuing with the specific example of the preceding paragraph, the inbound DST processing section 82 combines the phrase count from each of the DST execution units 36 to produce a total phrase count. In addition, the inbound DST processing section 82 combines the ‘where the phrase was found’ information from each of the DST execution units 36 within their respective data partitions to produce ‘where the phrase was found’ information for the series of digital books.

In another example of operation, the DST client module 34 requests retrieval of stored data within the memory of the DST execution units 36 (e.g., memory of the DSTN module). In this example, the task 94 is retrieve data stored in the memory of the DSTN module. Accordingly, the outbound DST processing section 80 converts the task 94 into a plurality of partial tasks 98 and sends the partial tasks 98 to the respective DST execution units 1-n.

In response to the partial task 98 of retrieving stored data, a DST execution unit 36 identifies the corresponding encoded data slices 100 and retrieves them. For example, DST execution unit #1 receives partial task #1 and retrieves, in response thereto, retrieved slices #1. The DST execution units 36 send their respective retrieved slices 100 to the inbound DST processing section 82 via the network 24.

The inbound DST processing section 82 converts the retrieved slices 100 into data 92. For example, the inbound DST processing section 82 de-groups the retrieved slices 100 to produce encoded slices per data partition. The inbound DST processing section 82 then DS error decodes the encoded slices per data partition to produce data partitions. The inbound DST processing section 82 de-partitions the data partitions to recapture the data 92.

FIG. 4 is a schematic block diagram of an embodiment of an outbound distributed storage and/or task (DST) processing section 80 of a DST client module 34 FIG. 1 coupled to a DSTN module 22 of a FIG. 1 (e.g., a plurality of n DST execution units 36) via a network 24. The outbound DST processing section 80 includes a data partitioning module 110, a dispersed storage (DS) error encoding module 112, a grouping selector module 114, a control module 116, and a distributed task control module 118.

In an example of operation, the data partitioning module 110 partitions data 92 into a plurality of data partitions 120. The number of partitions and the size of the partitions may be selected by the control module 116 via control 160 based on the data 92 (e.g., its size, its content, etc.), a corresponding task 94 to be performed (e.g., simple, complex, single step, multiple steps, etc.), DS encoding parameters (e.g., pillar width, decode threshold, write threshold, segment security parameters, slice security parameters, etc.), capabilities of the DST execution units 36 (e.g., processing resources, availability of processing recourses, etc.), and/or as may be inputted by a user, system administrator, or other operator (human or automated). For example, the data partitioning module 110 partitions the data 92 (e.g., 100 Terabytes) into 100,000 data segments, each being 1 Gigabyte in size. Alternatively, the data partitioning module 110 partitions the data 92 into a plurality of data segments, where some of data segments are of a different size, are of the same size, or a combination thereof.

The DS error encoding module 112 receives the data partitions 120 in a serial manner, a parallel manner, and/or a combination thereof. For each data partition 120, the DS error encoding module 112 DS error encodes the data partition 120 in accordance with control information 160 from the control module 116 to produce encoded data slices 122. The DS error encoding includes segmenting the data partition into data segments, segment security processing (e.g., encryption, compression, watermarking, integrity check (e.g., CRC), etc.), error encoding, slicing, and/or per slice security processing (e.g., encryption, compression, watermarking, integrity check (e.g., CRC), etc.). The control information 160 indicates which steps of the DS error encoding are active for a given data partition and, for active steps, indicates the parameters for the step. For example, the control information 160 indicates that the error encoding is active and includes error encoding parameters (e.g., pillar width, decode threshold, write threshold, read threshold, type of error encoding, etc.).

The grouping selector module 114 groups the encoded slices 122 of a data partition into a set of slice groupings 96. The number of slice groupings corresponds to the number of DST execution units 36 identified for a particular task 94. For example, if five DST execution units 36 are identified for the particular task 94, the grouping selector module groups the encoded slices 122 of a data partition into five slice groupings 96. The grouping selector module 114 outputs the slice groupings 96 to the corresponding DST execution units 36 via the network 24.

The distributed task control module 118 receives the task 94 and converts the task 94 into a set of partial tasks 98. For example, the distributed task control module 118 receives a task to find where in the data (e.g., a series of books) a phrase occurs and a total count of the phrase usage in the data. In this example, the distributed task control module 118 replicates the task 94 for each DST execution unit 36 to produce the partial tasks 98. In another example, the distributed task control module 118 receives a task to find where in the data a first phrase occurs, where in the data a second phrase occurs, and a total count for each phrase usage in the data. In this example, the distributed task control module 118 generates a first set of partial tasks 98 for finding and counting the first phrase and a second set of partial tasks for finding and counting the second phrase. The distributed task control module 118 sends respective first and/or second partial tasks 98 to each DST execution unit 36.

FIG. 5 is a logic diagram of an example of a method for outbound distributed storage and task (DST) processing that begins at step 126 where a DST client module receives data and one or more corresponding tasks. The method continues at step 128 where the DST client module determines a number of DST units to support the task for one or more data partitions. For example, the DST client module may determine the number of DST units to support the task based on the size of the data, the requested task, the content of the data, a predetermined number (e.g., user indicated, system administrator determined, etc.), available DST units, capability of the DST units, and/or any other factor regarding distributed task processing of the data. The DST client module may select the same DST units for each data partition, may select different DST units for the data partitions, or a combination thereof.

The method continues at step 130 where the DST client module determines processing parameters of the data based on the number of DST units selected for distributed task processing. The processing parameters include data partitioning information, DS encoding parameters, and/or slice grouping information. The data partitioning information includes a number of data partitions, size of each data partition, and/or organization of the data partitions (e.g., number of data blocks in a partition, the size of the data blocks, and arrangement of the data blocks). The DS encoding parameters include segmenting information, segment security information, error encoding information (e.g., dispersed storage error encoding function parameters including one or more of pillar width, decode threshold, write threshold, read threshold, generator matrix), slicing information, and/or per slice security information. The slice grouping information includes information regarding how to arrange the encoded data slices into groups for the selected DST units. As a specific example, if the DST client module determines that five DST units are needed to support the task, then it determines that the error encoding parameters include a pillar width of five and a decode threshold of three.

The method continues at step 132 where the DST client module determines task partitioning information (e.g., how to partition the tasks) based on the selected DST units and data processing parameters. The data processing parameters include the processing parameters and DST unit capability information. The DST unit capability information includes the number of DT (distributed task) execution units, execution capabilities of each DT execution unit (e.g., MIPS capabilities, processing resources (e.g., quantity and capability of microprocessors, CPUs, digital signal processors, co-processor, microcontrollers, arithmetic logic circuitry, and/or any the other analog and/or digital processing circuitry), availability of the processing resources, memory information (e.g., type, size, availability, etc.)), and/or any information germane to executing one or more tasks.

The method continues at step 134 where the DST client module processes the data in accordance with the processing parameters to produce slice groupings. The method continues at step 136 where the DST client module partitions the task based on the task partitioning information to produce a set of partial tasks. The method continues at step 138 where the DST client module sends the slice groupings and the corresponding partial tasks to respective DST units.

FIG. 6 is a schematic block diagram of an embodiment of the dispersed storage (DS) error encoding module 112 of an outbound distributed storage and task (DST) processing section. The DS error encoding module 112 includes a segment processing module 142, a segment security processing module 144, an error encoding module 146, a slicing module 148, and a per slice security processing module 150. Each of these modules is coupled to a control module 116 to receive control information 160 therefrom.

In an example of operation, the segment processing module 142 receives a data partition 120 from a data partitioning module and receives segmenting information as the control information 160 from the control module 116. The segmenting information indicates how the segment processing module 142 is to segment the data partition 120. For example, the segmenting information indicates how many rows to segment the data based on a decode threshold of an error encoding scheme, indicates how many columns to segment the data into based on a number and size of data blocks within the data partition 120, and indicates how many columns to include in a data segment 152. The segment processing module 142 segments the data 120 into data segments 152 in accordance with the segmenting information.

The segment security processing module 144, when enabled by the control module 116, secures the data segments 152 based on segment security information received as control information 160 from the control module 116. The segment security information includes data compression, encryption, watermarking, integrity check (e.g., cyclic redundancy check (CRC), etc.), and/or any other type of digital security. For example, when the segment security processing module 144 is enabled, it may compress a data segment 152, encrypt the compressed data segment, and generate a CRC value for the encrypted data segment to produce a secure data segment 154. When the segment security processing module 144 is not enabled, it passes the data segments 152 to the error encoding module 146 or is bypassed such that the data segments 152 are provided to the error encoding module 146.

The error encoding module 146 encodes the secure data segments 154 in accordance with error correction encoding parameters received as control information 160 from the control module 116. The error correction encoding parameters (e.g., also referred to as dispersed storage error coding parameters) include identifying an error correction encoding scheme (e.g., forward error correction algorithm, a Reed-Solomon based algorithm, an online coding algorithm, an information dispersal algorithm, etc.), a pillar width, a decode threshold, a read threshold, a write threshold, etc. For example, the error correction encoding parameters identify a specific error correction encoding scheme, specifies a pillar width of five, and specifies a decode threshold of three. From these parameters, the error encoding module 146 encodes a data segment 154 to produce an encoded data segment 156.

The slicing module 148 slices the encoded data segment 156 in accordance with the pillar width of the error correction encoding parameters received as control information 160. For example, if the pillar width is five, the slicing module 148 slices an encoded data segment 156 into a set of five encoded data slices. As such, for a plurality of encoded data segments 156 for a given data partition, the slicing module outputs a plurality of sets of encoded data slices 158.

The per slice security processing module 150, when enabled by the control module 116, secures each encoded data slice 158 based on slice security information received as control information 160 from the control module 116. The slice security information includes data compression, encryption, watermarking, integrity check (e.g., CRC, etc.), and/or any other type of digital security. For example, when the per slice security processing module 150 is enabled, it compresses an encoded data slice 158, encrypts the compressed encoded data slice, and generates a CRC value for the encrypted encoded data slice to produce a secure encoded data slice 122. When the per slice security processing module 150 is not enabled, it passes the encoded data slices 158 or is bypassed such that the encoded data slices 158 are the output of the DS error encoding module 112. Note that the control module 116 may be omitted and each module stores its own parameters.

FIG. 7 is a diagram of an example of a segment processing of a dispersed storage (DS) error encoding module. In this example, a segment processing module 142 receives a data partition 120 that includes 45 data blocks (e.g., d1-d45), receives segmenting information (i.e., control information 160) from a control module, and segments the data partition 120 in accordance with the control information 160 to produce data segments 152. Each data block may be of the same size as other data blocks or of a different size. In addition, the size of each data block may be a few bytes to megabytes of data. As previously mentioned, the segmenting information indicates how many rows to segment the data partition into, indicates how many columns to segment the data partition into, and indicates how many columns to include in a data segment.

In this example, the decode threshold of the error encoding scheme is three; as such the number of rows to divide the data partition into is three. The number of columns for each row is set to 15, which is based on the number and size of data blocks. The data blocks of the data partition are arranged in rows and columns in a sequential order (i.e., the first row includes the first 15 data blocks; the second row includes the second 15 data blocks; and the third row includes the last 15 data blocks).

With the data blocks arranged into the desired sequential order, they are divided into data segments based on the segmenting information. In this example, the data partition is divided into 8 data segments; the first 7 include 2 columns of three rows and the last includes 1 column of three rows. Note that the first row of the 8 data segments is in sequential order of the first 15 data blocks; the second row of the 8 data segments in sequential order of the second 15 data blocks; and the third row of the 8 data segments in sequential order of the last 15 data blocks. Note that the number of data blocks, the grouping of the data blocks into segments, and size of the data blocks may vary to accommodate the desired distributed task processing function.

FIG. 8 is a diagram of an example of error encoding and slicing processing of the dispersed error encoding processing the data segments of FIG. 7. In this example, data segment 1 includes 3 rows with each row being treated as one word for encoding. As such, data segment 1 includes three words for encoding: word 1 including data blocks d1 and d2, word 2 including data blocks d16 and d17, and word 3 including data blocks d31 and d32. Each of data segments 2-7 includes three words where each word includes two data blocks. Data segment 8 includes three words where each word includes a single data block (e.g., d15, d30, and d45).

In operation, an error encoding module 146 and a slicing module 148 convert each data segment into a set of encoded data slices in accordance with error correction encoding parameters as control information 160. More specifically, when the error correction encoding parameters indicate a unity matrix Reed-Solomon based encoding algorithm, 5 pillars, and decode threshold of 3, the first three encoded data slices of the set of encoded data slices for a data segment are substantially similar to the corresponding word of the data segment. For instance, when the unity matrix Reed-Solomon based encoding algorithm is applied to data segment 1, the content of the first encoded data slice (DS1_d1&2) of the first set of encoded data slices (e.g., corresponding to data segment 1) is substantially similar to content of the first word (e.g., d1 & d2); the content of the second encoded data slice (DS1_d16&17) of the first set of encoded data slices is substantially similar to content of the second word (e.g., d16 & d17); and the content of the third encoded data slice (DS1_d31&32) of the first set of encoded data slices is substantially similar to content of the third word (e.g., d31 & d32).

The content of the fourth and fifth encoded data slices (e.g., ES1_1 and ES1_2) of the first set of encoded data slices include error correction data based on the first-third words of the first data segment. With such an encoding and slicing scheme, retrieving any three of the five encoded data slices allows the data segment to be accurately reconstructed.

The encoding and slicing of data segments 2-7 yield sets of encoded data slices similar to the set of encoded data slices of data segment 1. For instance, the content of the first encoded data slice (DS2_d3&4) of the second set of encoded data slices (e.g., corresponding to data segment 2) is substantially similar to content of the first word (e.g., d3 & d4); the content of the second encoded data slice (DS2_d18&19) of the second set of encoded data slices is substantially similar to content of the second word (e.g., d18 & d19); and the content of the third encoded data slice (DS2_d33&34) of the second set of encoded data slices is substantially similar to content of the third word (e.g., d33 & d34). The content of the fourth and fifth encoded data slices (e.g., ES1_1 and ES1_2) of the second set of encoded data slices includes error correction data based on the first-third words of the second data segment.

FIG. 9 is a diagram of an example of grouping selection processing of an outbound distributed storage and task (DST) processing in accordance with grouping selecting information as control information 160 from a control module. Encoded slices for data partition 122 are grouped in accordance with the control information 160 to produce slice groupings 96. In this example, a grouping selector module 114 organizes the encoded data slices into five slice groupings (e.g., one for each DST execution unit of a distributed storage and task network (DSTN) module). As a specific example, the grouping selector module 114 creates a first slice grouping for a DST execution unit #1, which includes first encoded slices of each of the sets of encoded slices. As such, the first DST execution unit receives encoded data slices corresponding to data blocks 1-15 (e.g., encoded data slices of contiguous data).

The grouping selector module 114 also creates a second slice grouping for a DST execution unit #2, which includes second encoded slices of each of the sets of encoded slices. As such, the second DST execution unit receives encoded data slices corresponding to data blocks 16-30. The grouping selector module 114 further creates a third slice grouping for DST execution unit #3, which includes third encoded slices of each of the sets of encoded slices. As such, the third DST execution unit receives encoded data slices corresponding to data blocks 31-45.

The grouping selector module 114 creates a fourth slice grouping for DST execution unit #4, which includes fourth encoded slices of each of the sets of encoded slices. As such, the fourth DST execution unit receives encoded data slices corresponding to first error encoding information (e.g., encoded data slices of error coding (EC) data). The grouping selector module 114 further creates a fifth slice grouping for DST execution unit #5, which includes fifth encoded slices of each of the sets of encoded slices. As such, the fifth DST execution unit receives encoded data slices corresponding to second error encoding information.

FIG. 10 is a diagram of an example of converting data 92 into slice groups that expands on the preceding figures. As shown, the data 92 is partitioned in accordance with a partitioning function 164 into a plurality of data partitions (1−x, where x is an integer greater than 4). Each data partition (or chunkset of data) is encoded and grouped into slice groupings as previously discussed by an encoding and grouping function 166. For a given data partition, the slice groupings are sent to distributed storage and task (DST) execution units. From data partition to data partition, the ordering of the slice groupings to the DST execution units may vary.

For example, the slice groupings of data partition #1 is sent to the DST execution units such that the first DST execution receives first encoded data slices of each of the sets of encoded data slices, which corresponds to a first continuous data chunk of the first data partition (e.g., refer to FIG. 9), a second DST execution receives second encoded data slices of each of the sets of encoded data slices, which corresponds to a second continuous data chunk of the first data partition, etc.

For the second data partition, the slice groupings may be sent to the DST execution units in a different order than it was done for the first data partition. For instance, the first slice grouping of the second data partition (e.g., slice group 2_1) is sent to the second DST execution unit; the second slice grouping of the second data partition (e.g., slice group 2_2) is sent to the third DST execution unit; the third slice grouping of the second data partition (e.g., slice group 2_3) is sent to the fourth DST execution unit; the fourth slice grouping of the second data partition (e.g., slice group 2_4, which includes first error coding information) is sent to the fifth DST execution unit; and the fifth slice grouping of the second data partition (e.g., slice group 2_5, which includes second error coding information) is sent to the first DST execution unit.

The pattern of sending the slice groupings to the set of DST execution units may vary in a predicted pattern, a random pattern, and/or a combination thereof from data partition to data partition. In addition, from data partition to data partition, the set of DST execution units may change. For example, for the first data partition, DST execution units 1-5 may be used; for the second data partition, DST execution units 6-10 may be used; for the third data partition, DST execution units 3-7 may be used; etc. As is also shown, the task is divided into partial tasks that are sent to the DST execution units in conjunction with the slice groupings of the data partitions.

FIG. 11 is a schematic block diagram of an embodiment of a DST (distributed storage and/or task) execution unit that includes an interface 169, a controller 86, memory 88, one or more DT (distributed task) execution modules 90, and a DST client module 34. The memory 88 is of sufficient size to store a significant number of encoded data slices (e.g., thousands of slices to hundreds-of-millions of slices) and may include one or more hard drives and/or one or more solid-state memory devices (e.g., flash memory, DRAM, etc.).

In an example of storing a slice group, the DST execution module receives a slice grouping 96 (e.g., slice group #1) via interface 169. The slice grouping 96 includes, per partition, encoded data slices of contiguous data or encoded data slices of error coding (EC) data. For slice group #1, the DST execution module receives encoded data slices of contiguous data for partitions #1 and #x (and potentially others between 3 and x) and receives encoded data slices of EC data for partitions #2 and #3 (and potentially others between 3 and x). Examples of encoded data slices of contiguous data and encoded data slices of error coding (EC) data are discussed with reference to FIG. 9. The memory 88 stores the encoded data slices of slice groupings 96 in accordance with memory control information 174 it receives from the controller 86.

The controller 86 (e.g., a processing module, a CPU, etc.) generates the memory control information 174 based on a partial task(s) 98 and distributed computing information (e.g., user information (e.g., user ID, distributed computing permissions, data access permission, etc.), vault information (e.g., virtual memory assigned to user, user group, temporary storage for task processing, etc.), task validation information, etc.). For example, the controller 86 interprets the partial task(s) 98 in light of the distributed computing information to determine whether a requestor is authorized to perform the task 98, is authorized to access the data, and/or is authorized to perform the task on this particular data. When the requestor is authorized, the controller 86 determines, based on the task 98 and/or another input, whether the encoded data slices of the slice grouping 96 are to be temporarily stored or permanently stored. Based on the foregoing, the controller 86 generates the memory control information 174 to write the encoded data slices of the slice grouping 96 into the memory 88 and to indicate whether the slice grouping 96 is permanently stored or temporarily stored.

With the slice grouping 96 stored in the memory 88, the controller 86 facilitates execution of the partial task(s) 98. In an example, the controller 86 interprets the partial task 98 in light of the capabilities of the DT execution module(s) 90. The capabilities include one or more of MIPS capabilities, processing resources (e.g., quantity and capability of microprocessors, CPUs, digital signal processors, co-processor, microcontrollers, arithmetic logic circuitry, and/or any other analog and/or digital processing circuitry), availability of the processing resources, etc. If the controller 86 determines that the DT execution module(s) 90 have sufficient capabilities, it generates task control information 176.

The task control information 176 may be a generic instruction (e.g., perform the task on the stored slice grouping) or a series of operational codes. In the former instance, the DT execution module 90 includes a co-processor function specifically configured (fixed or programmed) to perform the desired task 98. In the latter instance, the DT execution module 90 includes a general processor topology where the controller stores an algorithm corresponding to the particular task 98. In this instance, the controller 86 provides the operational codes (e.g., assembly language, source code of a programming language, object code, etc.) of the algorithm to the DT execution module 90 for execution.

Depending on the nature of the task 98, the DT execution module 90 may generate intermediate partial results 102 that are stored in the memory 88 or in a cache memory (not shown) within the DT execution module 90. In either case, when the DT execution module 90 completes execution of the partial task 98, it outputs one or more partial results 102. The partial results 102 may also be stored in memory 88.

If, when the controller 86 is interpreting whether capabilities of the DT execution module(s) 90 can support the partial task 98, the controller 86 determines that the DT execution module(s) 90 cannot adequately support the task 98 (e.g., does not have the right resources, does not have sufficient available resources, available resources would be too slow, etc.), it then determines whether the partial task 98 should be fully offloaded or partially offloaded.

If the controller 86 determines that the partial task 98 should be fully offloaded, it generates DST control information 178 and provides it to the DST client module 34. The DST control information 178 includes the partial task 98, memory storage information regarding the slice grouping 96, and distribution instructions. The distribution instructions instruct the DST client module 34 to divide the partial task 98 into sub-partial tasks 172, to divide the slice grouping 96 into sub-slice groupings 170, and identify other DST execution units. The DST client module 34 functions in a similar manner as the DST client module 34 of FIGS. 3-10 to produce the sub-partial tasks 172 and the sub-slice groupings 170 in accordance with the distribution instructions.

The DST client module 34 receives DST feedback 168 (e.g., sub-partial results), via the interface 169, from the DST execution units to which the task was offloaded. The DST client module 34 provides the sub-partial results to the DST execution unit, which processes the sub-partial results to produce the partial result(s) 102.

If the controller 86 determines that the partial task 98 should be partially offloaded, it determines what portion of the task 98 and/or slice grouping 96 should be processed locally and what should be offloaded. For the portion that is being locally processed, the controller 86 generates task control information 176 as previously discussed. For the portion that is being offloaded, the controller 86 generates DST control information 178 as previously discussed.

When the DST client module 34 receives DST feedback 168 (e.g., sub-partial results) from the DST executions units to which a portion of the task was offloaded, it provides the sub-partial results to the DT execution module 90. The DT execution module 90 processes the sub-partial results with the sub-partial results it created to produce the partial result(s) 102.

The memory 88 may be further utilized to retrieve one or more of stored slices 100, stored results 104, partial results 102 when the DT execution module 90 stores partial results 102 and/or results 104 in the memory 88. For example, when the partial task 98 includes a retrieval request, the controller 86 outputs the memory control 174 to the memory 88 to facilitate retrieval of slices 100 and/or results 104.

FIG. 12 is a schematic block diagram of an example of operation of a distributed storage and task (DST) execution unit storing encoded data slices and executing a task thereon. To store the encoded data slices of a partition 1 of slice grouping 1, a controller 86 generates write commands as memory control information 174 such that the encoded slices are stored in desired locations (e.g., permanent or temporary) within memory 88.

Once the encoded slices are stored, the controller 86 provides task control information 176 to a distributed task (DT) execution module 90. As a first step of executing the task in accordance with the task control information 176, the DT execution module 90 retrieves the encoded slices from memory 88. The DT execution module 90 then reconstructs contiguous data blocks of a data partition. As shown for this example, reconstructed contiguous data blocks of data partition 1 include data blocks 1-15 (e.g., d1-d15).

With the contiguous data blocks reconstructed, the DT execution module 90 performs the task on the reconstructed contiguous data blocks. For example, the task may be to search the reconstructed contiguous data blocks for a particular word or phrase, identify where in the reconstructed contiguous data blocks the particular word or phrase occurred, and/or count the occurrences of the particular word or phrase on the reconstructed contiguous data blocks. The DST execution unit continues in a similar manner for the encoded data slices of other partitions in slice grouping 1. Note that with using the unity matrix error encoding scheme previously discussed, if the encoded data slices of contiguous data are uncorrupted, the decoding of them is a relatively straightforward process of extracting the data.

If, however, an encoded data slice of contiguous data is corrupted (or missing), it can be rebuilt by accessing other DST execution units that are storing the other encoded data slices of the set of encoded data slices of the corrupted encoded data slice. In this instance, the DST execution unit having the corrupted encoded data slices retrieves at least three encoded data slices (of contiguous data and of error coding data) in the set from the other DST execution units (recall for this example, the pillar width is 5 and the decode threshold is 3). The DST execution unit decodes the retrieved data slices using the DS error encoding parameters to recapture the corresponding data segment. The DST execution unit then re-encodes the data segment using the DS error encoding parameters to rebuild the corrupted encoded data slice. Once the encoded data slice is rebuilt, the DST execution unit functions as previously described.

FIG. 13 is a schematic block diagram of an embodiment of an inbound distributed storage and/or task (DST) processing section 82 of a DST client module coupled to DST execution units of a distributed storage and task network (DSTN) module via a network 24. The inbound DST processing section 82 includes a de-grouping module 180, a DS (dispersed storage) error decoding module 182, a data de-partitioning module 184, a control module 186, and a distributed task control module 188. Note that the control module 186 and/or the distributed task control module 188 may be separate modules from corresponding ones of outbound DST processing section or may be the same modules.

In an example of operation, the DST execution units have completed execution of corresponding partial tasks on the corresponding slice groupings to produce partial results 102. The inbound DST processing section 82 receives the partial results 102 via the distributed task control module 188. The inbound DST processing section 82 then processes the partial results 102 to produce a final result, or results 104. For example, if the task was to find a specific word or phrase within data, the partial results 102 indicate where in each of the prescribed portions of the data the corresponding DST execution units found the specific word or phrase. The distributed task control module 188 combines the individual partial results 102 for the corresponding portions of the data into a final result 104 for the data as a whole.

In another example of operation, the inbound DST processing section 82 is retrieving stored data from the DST execution units (i.e., the DSTN module). In this example, the DST execution units output encoded data slices 100 corresponding to the data retrieval requests. The de-grouping module 180 receives retrieved slices 100 and de-groups them to produce encoded data slices per data partition 122. The DS error decoding module 182 decodes, in accordance with DS error encoding parameters, the encoded data slices per data partition 122 to produce data partitions 120.

The data de-partitioning module 184 combines the data partitions 120 into the data 92. The control module 186 controls the conversion of retrieved slices 100 into the data 92 using control signals 190 to each of the modules. For instance, the control module 186 provides de-grouping information to the de-grouping module 180, provides the DS error encoding parameters to the DS error decoding module 182, and provides de-partitioning information to the data de-partitioning module 184.

FIG. 14 is a logic diagram of an example of a method that is executable by distributed storage and task (DST) client module regarding inbound DST processing. The method begins at step 194 where the DST client module receives partial results. The method continues at step 196 where the DST client module retrieves the task corresponding to the partial results. For example, the partial results include header information that identifies the requesting entity, which correlates to the requested task.

The method continues at step 198 where the DST client module determines result processing information based on the task. For example, if the task were to identify a particular word or phrase within the data, the result processing information would indicate to aggregate the partial results for the corresponding portions of the data to produce the final result. As another example, if the task were to count the occurrences of a particular word or phrase within the data, results of processing the information would indicate to add the partial results to produce the final results. The method continues at step 200 where the DST client module processes the partial results in accordance with the result processing information to produce the final result or results.

FIG. 15 is a diagram of an example of de-grouping selection processing of an inbound distributed storage and task (DST) processing section of a DST client module. In general, this is an inverse process of the grouping module of the outbound DST processing section of FIG. 9. Accordingly, for each data partition (e.g., partition #1), the de-grouping module retrieves the corresponding slice grouping from the DST execution units (EU) (e.g., DST 1-5).

As shown, DST execution unit #1 provides a first slice grouping, which includes the first encoded slices of each of the sets of encoded slices (e.g., encoded data slices of contiguous data of data blocks 1-15); DST execution unit #2 provides a second slice grouping, which includes the second encoded slices of each of the sets of encoded slices (e.g., encoded data slices of contiguous data of data blocks 16-30); DST execution unit #3 provides a third slice grouping, which includes the third encoded slices of each of the sets of encoded slices (e.g., encoded data slices of contiguous data of data blocks 31-45); DST execution unit #4 provides a fourth slice grouping, which includes the fourth encoded slices of each of the sets of encoded slices (e.g., first encoded data slices of error coding (EC) data); and DST execution unit #5 provides a fifth slice grouping, which includes the fifth encoded slices of each of the sets of encoded slices (e.g., first encoded data slices of error coding (EC) data).

The de-grouping module de-groups the slice groupings (e.g., received slices 100) using a de-grouping selector 180 controlled by a control signal 190 as shown in the example to produce a plurality of sets of encoded data slices (e.g., retrieved slices for a partition into sets of slices 122). Each set corresponding to a data segment of the data partition.

FIG. 16 is a schematic block diagram of an embodiment of a dispersed storage (DS) error decoding module 182 of an inbound distributed storage and task (DST) processing section. The DS error decoding module 182 includes an inverse per slice security processing module 202, a de-slicing module 204, an error decoding module 206, an inverse segment security module 208, a de-segmenting processing module 210, and a control module 186.

In an example of operation, the inverse per slice security processing module 202, when enabled by the control module 186, unsecures each encoded data slice 122 based on slice de-security information received as control information 190 (e.g., the compliment of the slice security information discussed with reference to FIG. 6) received from the control module 186. The slice security information includes data decompression, decryption, de-watermarking, integrity check (e.g., CRC verification, etc.), and/or any other type of digital security. For example, when the inverse per slice security processing module 202 is enabled, it verifies integrity information (e.g., a CRC value) of each encoded data slice 122, it decrypts each verified encoded data slice, and decompresses each decrypted encoded data slice to produce slice encoded data 158. When the inverse per slice security processing module 202 is not enabled, it passes the encoded data slices 122 as the sliced encoded data 158 or is bypassed such that the retrieved encoded data slices 122 are provided as the sliced encoded data 158.

The de-slicing module 204 de-slices the sliced encoded data 158 into encoded data segments 156 in accordance with a pillar width of the error correction encoding parameters received as control information 190 from the control module 186. For example, if the pillar width is five, the de-slicing module 204 de-slices a set of five encoded data slices into an encoded data segment 156. The error decoding module 206 decodes the encoded data segments 156 in accordance with error correction decoding parameters received as control information 190 from the control module 186 to produce secure data segments 154. The error correction decoding parameters include identifying an error correction encoding scheme (e.g., forward error correction algorithm, a Reed-Solomon based algorithm, an information dispersal algorithm, etc.), a pillar width, a decode threshold, a read threshold, a write threshold, etc. For example, the error correction decoding parameters identify a specific error correction encoding scheme, specify a pillar width of five, and specify a decode threshold of three.

The inverse segment security processing module 208, when enabled by the control module 186, unsecures the secured data segments 154 based on segment security information received as control information 190 from the control module 186. The segment security information includes data decompression, decryption, de-watermarking, integrity check (e.g., CRC, etc.) verification, and/or any other type of digital security. For example, when the inverse segment security processing module 208 is enabled, it verifies integrity information (e.g., a CRC value) of each secure data segment 154, it decrypts each verified secured data segment, and decompresses each decrypted secure data segment to produce a data segment 152. When the inverse segment security processing module 208 is not enabled, it passes the decoded data segment 154 as the data segment 152 or is bypassed.

The de-segment processing module 210 receives the data segments 152 and receives de-segmenting information as control information 190 from the control module 186. The de-segmenting information indicates how the de-segment processing module 210 is to de-segment the data segments 152 into a data partition 120. For example, the de-segmenting information indicates how the rows and columns of data segments are to be rearranged to yield the data partition 120.

FIG. 17 is a diagram of an example of de-slicing and error decoding processing of a dispersed error decoding module. A de-slicing module 204 receives at least a decode threshold number of encoded data slices 158 for each data segment in accordance with control information 190 and provides encoded data 156. In this example, a decode threshold is three. As such, each set of encoded data slices 158 is shown to have three encoded data slices per data segment. The de-slicing module 204 may receive three encoded data slices per data segment because an associated distributed storage and task (DST) client module requested retrieving only three encoded data slices per segment or selected three of the retrieved encoded data slices per data segment. As shown, which is based on the unity matrix encoding previously discussed with reference to FIG. 8, an encoded data slice may be a data-based encoded data slice (e.g., DS1_d1&d2) or an error code based encoded data slice (e.g., ES3_1).

An error decoding module 206 decodes the encoded data 156 of each data segment in accordance with the error correction decoding parameters of control information 190 to produce secured segments 154. In this example, data segment 1 includes 3 rows with each row being treated as one word for encoding. As such, data segment 1 includes three words: word 1 including data blocks d1 and d2, word 2 including data blocks d16 and d17, and word 3 including data blocks d31 and d32. Each of data segments 2-7 includes three words where each word includes two data blocks. Data segment 8 includes three words where each word includes a single data block (e.g., d15, d30, and d45).

FIG. 18 is a diagram of an example of de-segment processing of an inbound distributed storage and task (DST) processing. In this example, a de-segment processing module 210 receives data segments 152 (e.g., 1-8) and rearranges the data blocks of the data segments into rows and columns in accordance with de-segmenting information of control information 190 to produce a data partition 120. Note that the number of rows is based on the decode threshold (e.g., 3 in this specific example) and the number of columns is based on the number and size of the data blocks.

The de-segmenting module 210 converts the rows and columns of data blocks into the data partition 120. Note that each data block may be of the same size as other data blocks or of a different size. In addition, the size of each data block may be a few bytes to megabytes of data.

FIG. 19 is a diagram of an example of converting slice groups into data 92 within an inbound distributed storage and task (DST) processing section. As shown, the data 92 is reconstructed from a plurality of data partitions (1−x, where x is an integer greater than 4). Each data partition (or chunk set of data) is decoded and re-grouped using a de-grouping and decoding function 212 and a de-partition function 214 from slice groupings as previously discussed. For a given data partition, the slice groupings (e.g., at least a decode threshold per data segment of encoded data slices) are received from DST execution units. From data partition to data partition, the ordering of the slice groupings received from the DST execution units may vary as discussed with reference to FIG. 10.

FIG. 20 is a diagram of an example of a distributed storage and/or retrieval within the distributed computing system. The distributed computing system includes a plurality of distributed storage and/or task (DST) processing client modules 34 (one shown) coupled to a distributed storage and/or task processing network (DSTN) module, or multiple DSTN modules, via a network 24. The DST client module 34 includes an outbound DST processing section 80 and an inbound DST processing section 82. The DSTN module includes a plurality of DST execution units. Each DST execution unit includes a controller 86, memory 88, one or more distributed task (DT) execution modules 90, and a DST client module 34.

In an example of data storage, the DST client module 34 has data 92 that it desires to store in the DSTN module. The data 92 may be a file (e.g., video, audio, text, graphics, etc.), a data object, a data block, an update to a file, an update to a data block, etc. In this instance, the outbound DST processing module 80 converts the data 92 into encoded data slices 216 as will be further described with reference to FIGS. 21-23. The outbound DST processing module 80 sends, via the network 24, to the DST execution units for storage as further described with reference to FIG. 24.

In an example of data retrieval, the DST client module 34 issues a retrieve request to the DST execution units for the desired data 92. The retrieve request may address each DST executions units storing encoded data slices of the desired data, address a decode threshold number of DST execution units, address a read threshold number of DST execution units, or address some other number of DST execution units. In response to the request, each addressed DST execution unit retrieves its encoded data slices 100 of the desired data and sends them to the inbound DST processing section 82, via the network 24.

When, for each data segment, the inbound DST processing section 82 receives at least a decode threshold number of encoded data slices 100, it converts the encoded data slices 100 into a data segment. The inbound DST processing section 82 aggregates the data segments to produce the retrieved data 92.

FIG. 21 is a schematic block diagram of an embodiment of an outbound distributed storage and/or task (DST) processing section 80 of a DST client module coupled to a distributed storage and task network (DSTN) module (e.g., a plurality of DST execution units) via a network 24. The outbound DST processing section 80 includes a data partitioning module 110, a dispersed storage (DS) error encoding module 112, a grouping selector module 114, a control module 116, and a distributed task control module 118.

In an example of operation, the data partitioning module 110 is by-passed such that data 92 is provided directly to the DS error encoding module 112. The control module 116 coordinates the by-passing of the data partitioning module 110 by outputting a bypass 220 message to the data partitioning module 110.

The DS error encoding module 112 receives the data 92 in a serial manner, a parallel manner, and/or a combination thereof. The DS error encoding module 112 DS error encodes the data in accordance with control information 160 from the control module 116 to produce encoded data slices 218. The DS error encoding includes segmenting the data 92 into data segments, segment security processing (e.g., encryption, compression, watermarking, integrity check (e.g., CRC, etc.)), error encoding, slicing, and/or per slice security processing (e.g., encryption, compression, watermarking, integrity check (e.g., CRC, etc.)). The control information 160 indicates which steps of the DS error encoding are active for the data 92 and, for active steps, indicates the parameters for the step. For example, the control information 160 indicates that the error encoding is active and includes error encoding parameters (e.g., pillar width, decode threshold, write threshold, read threshold, type of error encoding, etc.).

The grouping selector module 114 groups the encoded slices 218 of the data segments into pillars of slices 216. The number of pillars corresponds to the pillar width of the DS error encoding parameters. In this example, the distributed task control module 118 facilitates the storage request.

FIG. 22 is a schematic block diagram of an example of a dispersed storage (DS) error encoding module 112 for the example of FIG. 21. The DS error encoding module 112 includes a segment processing module 142, a segment security processing module 144, an error encoding module 146, a slicing module 148, and a per slice security processing module 150. Each of these modules is coupled to a control module 116 to receive control information 160 therefrom.

In an example of operation, the segment processing module 142 receives data 92 and receives segmenting information as control information 160 from the control module 116. The segmenting information indicates how the segment processing module is to segment the data. For example, the segmenting information indicates the size of each data segment. The segment processing module 142 segments the data 92 into data segments 152 in accordance with the segmenting information.

The segment security processing module 144, when enabled by the control module 116, secures the data segments 152 based on segment security information received as control information 160 from the control module 116. The segment security information includes data compression, encryption, watermarking, integrity check (e.g., CRC, etc.), and/or any other type of digital security. For example, when the segment security processing module 144 is enabled, it compresses a data segment 152, encrypts the compressed data segment, and generates a CRC value for the encrypted data segment to produce a secure data segment. When the segment security processing module 144 is not enabled, it passes the data segments 152 to the error encoding module 146 or is bypassed such that the data segments 152 are provided to the error encoding module 146.

The error encoding module 146 encodes the secure data segments in accordance with error correction encoding parameters received as control information 160 from the control module 116. The error correction encoding parameters include identifying an error correction encoding scheme (e.g., forward error correction algorithm, a Reed-Solomon based algorithm, an information dispersal algorithm, etc.), a pillar width, a decode threshold, a read threshold, a write threshold, etc. For example, the error correction encoding parameters identify a specific error correction encoding scheme, specifies a pillar width of five, and specifies a decode threshold of three. From these parameters, the error encoding module 146 encodes a data segment to produce an encoded data segment.

The slicing module 148 slices the encoded data segment in accordance with a pillar width of the error correction encoding parameters. For example, if the pillar width is five, the slicing module slices an encoded data segment into a set of five encoded data slices. As such, for a plurality of data segments, the slicing module 148 outputs a plurality of sets of encoded data slices as shown within encoding and slicing function 222 as described.

The per slice security processing module 150, when enabled by the control module 116, secures each encoded data slice based on slice security information received as control information 160 from the control module 116. The slice security information includes data compression, encryption, watermarking, integrity check (e.g., CRC, etc.), and/or any other type of digital security. For example, when the per slice security processing module 150 is enabled, it may compress an encoded data slice, encrypt the compressed encoded data slice, and generate a CRC value for the encrypted encoded data slice to produce a secure encoded data slice tweaking. When the per slice security processing module 150 is not enabled, it passes the encoded data slices or is bypassed such that the encoded data slices 218 are the output of the DS error encoding module 112.

FIG. 23 is a diagram of an example of converting data 92 into pillar slice groups utilizing encoding, slicing and pillar grouping function 224 for storage in memory of a distributed storage and task network (DSTN) module. As previously discussed the data 92 is encoded and sliced into a plurality of sets of encoded data slices; one set per data segment. The grouping selector module organizes the sets of encoded data slices into pillars of data slices. In this example, the DS error encoding parameters include a pillar width of 5 and a decode threshold of 3. As such, for each data segment, 5 encoded data slices are created.

The grouping selector module takes the first encoded data slice of each of the sets and forms a first pillar, which may be sent to the first DST execution unit. Similarly, the grouping selector module creates the second pillar from the second slices of the sets; the third pillar from the third slices of the sets; the fourth pillar from the fourth slices of the sets; and the fifth pillar from the fifth slices of the set.

FIG. 24 is a schematic block diagram of an embodiment of a distributed storage and/or task (DST) execution unit that includes an interface 169, a controller 86, memory 88, one or more distributed task (DT) execution modules 90, and a DST client module 34. A computing core 26 may be utilized to implement the one or more DT execution modules 90 and the DST client module 34. The memory 88 is of sufficient size to store a significant number of encoded data slices (e.g., thousands of slices to hundreds-of-millions of slices) and may include one or more hard drives and/or one or more solid-state memory devices (e.g., flash memory, DRAM, etc.).

In an example of storing a pillar of slices 216, the DST execution unit receives, via interface 169, a pillar of slices 216 (e.g., pillar #1 slices). The memory 88 stores the encoded data slices 216 of the pillar of slices in accordance with memory control information 174 it receives from the controller 86. The controller 86 (e.g., a processing module, a CPU, etc.) generates the memory control information 174 based on distributed storage information (e.g., user information (e.g., user ID, distributed storage permissions, data access permission, etc.), vault information (e.g., virtual memory assigned to user, user group, etc.), etc.). Similarly, when retrieving slices, the DST execution unit receives, via interface 169, a slice retrieval request. The memory 88 retrieves the slice in accordance with memory control information 174 it receives from the controller 86. The memory 88 outputs the slice 100, via the interface 169, to a requesting entity.

FIG. 25 is a schematic block diagram of an example of operation of an inbound distributed storage and/or task (DST) processing section 82 for retrieving dispersed error encoded data 92. The inbound DST processing section 82 includes a de-grouping module 180, a dispersed storage (DS) error decoding module 182, a data de-partitioning module 184, a control module 186, and a distributed task control module 188. Note that the control module 186 and/or the distributed task control module 188 may be separate modules from corresponding ones of an outbound DST processing section or may be the same modules.

In an example of operation, the inbound DST processing section 82 is retrieving stored data 92 from the DST execution units (i.e., the DSTN module). In this example, the DST execution units output encoded data slices corresponding to data retrieval requests from the distributed task control module 188. The de-grouping module 180 receives pillars of slices 100 and de-groups them in accordance with control information 190 from the control module 186 to produce sets of encoded data slices 218. The DS error decoding module 182 decodes, in accordance with the DS error encoding parameters received as control information 190 from the control module 186, each set of encoded data slices 218 to produce data segments, which are aggregated into retrieved data 92. The data de-partitioning module 184 is by-passed in this operational mode via a bypass signal 226 of control information 190 from the control module 186.

FIG. 26 is a schematic block diagram of an embodiment of a dispersed storage (DS) error decoding module 182 of an inbound distributed storage and task (DST) processing section. The DS error decoding module 182 includes an inverse per slice security processing module 202, a de-slicing module 204, an error decoding module 206, an inverse segment security module 208, and a de-segmenting processing module 210. The dispersed error decoding module 182 is operable to de-slice and decode encoded slices per data segment 218 utilizing a de-slicing and decoding function 228 to produce a plurality of data segments that are de-segmented utilizing a de-segment function 230 to recover data 92.

In an example of operation, the inverse per slice security processing module 202, when enabled by the control module 186 via control information 190, unsecures each encoded data slice 218 based on slice de-security information (e.g., the compliment of the slice security information discussed with reference to FIG. 6) received as control information 190 from the control module 186. The slice de-security information includes data decompression, decryption, de-watermarking, integrity check (e.g., CRC verification, etc.), and/or any other type of digital security. For example, when the inverse per slice security processing module 202 is enabled, it verifies integrity information (e.g., a CRC value) of each encoded data slice 218, it decrypts each verified encoded data slice, and decompresses each decrypted encoded data slice to produce slice encoded data. When the inverse per slice security processing module 202 is not enabled, it passes the encoded data slices 218 as the sliced encoded data or is bypassed such that the retrieved encoded data slices 218 are provided as the sliced encoded data.

The de-slicing module 204 de-slices the sliced encoded data into encoded data segments in accordance with a pillar width of the error correction encoding parameters received as control information 190 from a control module 186. For example, if the pillar width is five, the de-slicing module de-slices a set of five encoded data slices into an encoded data segment. Alternatively, the encoded data segment may include just three encoded data slices (e.g., when the decode threshold is 3).

The error decoding module 206 decodes the encoded data segments in accordance with error correction decoding parameters received as control information 190 from the control module 186 to produce secure data segments. The error correction decoding parameters include identifying an error correction encoding scheme (e.g., forward error correction algorithm, a Reed-Solomon based algorithm, an information dispersal algorithm, etc.), a pillar width, a decode threshold, a read threshold, a write threshold, etc. For example, the error correction decoding parameters identify a specific error correction encoding scheme, specify a pillar width of five, and specify a decode threshold of three.

The inverse segment security processing module 208, when enabled by the control module 186, unsecures the secured data segments based on segment security information received as control information 190 from the control module 186. The segment security information includes data decompression, decryption, de-watermarking, integrity check (e.g., CRC, etc.) verification, and/or any other type of digital security. For example, when the inverse segment security processing module is enabled, it verifies integrity information (e.g., a CRC value) of each secure data segment, it decrypts each verified secured data segment, and decompresses each decrypted secure data segment to produce a data segment 152. When the inverse segment security processing module 208 is not enabled, it passes the decoded data segment 152 as the data segment or is bypassed. The de-segmenting processing module 210 aggregates the data segments 152 into the data 92 in accordance with control information 190 from the control module 186.

FIG. 27 is a schematic block diagram of an example of a distributed storage and task processing network (DSTN) module that includes a plurality of distributed storage and task (DST) execution units (#1 through #n, where, for example, n is an integer greater than or equal to three). Each of the DST execution units includes a DST client module 34, a controller 86, one or more DT (distributed task) execution modules 90, and memory 88.

In this example, the DSTN module stores, in the memory of the DST execution units, a plurality of DS (dispersed storage) encoded data (e.g., 1 through n, where n is an integer greater than or equal to two) and stores a plurality of DS encoded task codes (e.g., 1 through k, where k is an integer greater than or equal to two). The DS encoded data may be encoded in accordance with one or more examples described with reference to FIGS. 3-19 (e.g., organized in slice groupings) or encoded in accordance with one or more examples described with reference to FIGS. 20-26 (e.g., organized in pillar groups). The data that is encoded into the DS encoded data may be of any size and/or of any content. For example, the data may be one or more digital books, a copy of a company's emails, a large-scale Internet search, a video security file, one or more entertainment video files (e.g., television programs, movies, etc.), data files, and/or any other large amount of data (e.g., greater than a few Terabytes).

The tasks that are encoded into the DS encoded task code may be a simple function (e.g., a mathematical function, a logic function, an identify function, a find function, a search engine function, a replace function, etc.), a complex function (e.g., compression, human and/or computer language translation, text-to-voice conversion, voice-to-text conversion, etc.), multiple simple and/or complex functions, one or more algorithms, one or more applications, etc. The tasks may be encoded into the DS encoded task code in accordance with one or more examples described with reference to FIGS. 3-19 (e.g., organized in slice groupings) or encoded in accordance with one or more examples described with reference to FIGS. 20-26 (e.g., organized in pillar groups).

In an example of operation, a DST client module of a user device or of a DST processing unit issues a DST request to the DSTN module. The DST request may include a request to retrieve stored data, or a portion thereof, may include a request to store data that is included with the DST request, may include a request to perform one or more tasks on stored data, may include a request to perform one or more tasks on data included with the DST request, etc. In the cases where the DST request includes a request to store data or to retrieve data, the client module and/or the DSTN module processes the request as previously discussed with reference to one or more of FIGS. 3-19 (e.g., slice groupings) and/or 20-26 (e.g., pillar groupings). In the case where the DST request includes a request to perform one or more tasks on data included with the DST request, the DST client module and/or the DSTN module process the DST request as previously discussed with reference to one or more of FIGS. 3-19.

In the case where the DST request includes a request to perform one or more tasks on stored data, the DST client module and/or the DSTN module processes the DST request as will be described with reference to one or more of FIGS. 28-39. In general, the DST client module identifies data and one or more tasks for the DSTN module to execute upon the identified data. The DST request may be for a one-time execution of the task or for an on-going execution of the task. As an example of the latter, as a company generates daily emails, the DST request may be to daily search new emails for inappropriate content and, if found, record the content, the email sender(s), the email recipient(s), email routing information, notify human resources of the identified email, etc.

FIG. 28 is a schematic block diagram of an example of a distributed computing system performing tasks on stored data. In this example, two distributed storage and task (DST) client modules 1-2 are shown: the first may be associated with a user device and the second may be associated with a DST processing unit or a high priority user device (e.g., high priority clearance user, system administrator, etc.). Each DST client module includes a list of stored data 234 and a list of tasks codes 236. The list of stored data 234 includes one or more entries of data identifying information, where each entry identifies data stored in the DSTN module 22. The data identifying information (e.g., data ID) includes one or more of a data file name, a data file directory listing, DSTN addressing information of the data, a data object identifier, etc. The list of tasks 236 includes one or more entries of task code identifying information, when each entry identifies task codes stored in the DSTN module 22. The task code identifying information (e.g., task ID) includes one or more of a task file name, a task file directory listing, DSTN addressing information of the task, another type of identifier to identify the task, etc.

As shown, the list of data 234 and the list of tasks 236 are each smaller in number of entries for the first DST client module than the corresponding lists of the second DST client module. This may occur because the user device associated with the first DST client module has fewer privileges in the distributed computing system than the device associated with the second DST client module. Alternatively, this may occur because the user device associated with the first DST client module serves fewer users than the device associated with the second DST client module and is restricted by the distributed computing system accordingly. As yet another alternative, this may occur through no restraints by the distributed computing system, it just occurred because the operator of the user device associated with the first DST client module has selected fewer data and/or fewer tasks than the operator of the device associated with the second DST client module.

In an example of operation, the first DST client module selects one or more data entries 238 and one or more tasks 240 from its respective lists (e.g., selected data ID and selected task ID). The first DST client module sends its selections to a task distribution module 232. The task distribution module 232 may be within a stand-alone device of the distributed computing system, may be within the user device that contains the first DST client module, or may be within the DSTN module 22.

Regardless of the task distribution module's location, it generates DST allocation information 242 from the selected task ID 240 and the selected data ID 238. The DST allocation information 242 includes data partitioning information, task execution information, and/or intermediate result information. The task distribution module 232 sends the DST allocation information 242 to the DSTN module 22. Note that one or more examples of the DST allocation information will be discussed with reference to one or more of FIGS. 29-39.

The DSTN module 22 interprets the DST allocation information 242 to identify the stored DS encoded data (e.g., DS error encoded data 2) and to identify the stored DS error encoded task code (e.g., DS error encoded task code 1). In addition, the DSTN module 22 interprets the DST allocation information 242 to determine how the data is to be partitioned and how the task is to be partitioned. The DSTN module 22 also determines whether the selected DS error encoded data 238 needs to be converted from pillar grouping to slice grouping. If so, the DSTN module 22 converts the selected DS error encoded data into slice groupings and stores the slice grouping DS error encoded data by overwriting the pillar grouping DS error encoded data or by storing it in a different location in the memory of the DSTN module 22 (i.e., does not overwrite the pillar grouping DS encoded data).

The DSTN module 22 partitions the data and the task as indicated in the DST allocation information 242 and sends the portions to selected DST execution units of the DSTN module 22. Each of the selected DST execution units performs its partial task(s) on its slice groupings to produce partial results. The DSTN module 22 collects the partial results from the selected DST execution units and provides them, as result information 244, to the task distribution module. The result information 244 may be the collected partial results, one or more final results as produced by the DSTN module 22 from processing the partial results in accordance with the DST allocation information 242, or one or more intermediate results as produced by the DSTN module 22 from processing the partial results in accordance with the DST allocation information 242.

The task distribution module 232 receives the result information 244 and provides one or more final results 104 therefrom to the first DST client module. The final result(s) 104 may be result information 244 or a result(s) of the task distribution module's processing of the result information 244.

In concurrence with processing the selected task of the first DST client module, the distributed computing system may process the selected task(s) of the second DST client module on the selected data(s) of the second DST client module. Alternatively, the distributed computing system may process the second DST client module's request subsequent to, or preceding, that of the first DST client module. Regardless of the ordering and/or parallel processing of the DST client module requests, the second DST client module provides its selected data 238 and selected task 240 to a task distribution module 232. If the task distribution module 232 is a separate device of the distributed computing system or within the DSTN module, the task distribution modules 232 coupled to the first and second DST client modules may be the same module. The task distribution module 232 processes the request of the second DST client module in a similar manner as it processed the request of the first DST client module.

FIG. 29 is a schematic block diagram of an embodiment of a task distribution module 232 facilitating the example of FIG. 28. The task distribution module 232 includes a plurality of tables it uses to generate distributed storage and task (DST) allocation information 242 for selected data and selected tasks received from a DST client module. The tables include data storage information 248, task storage information 250, distributed task (DT) execution module information 252, and task

sub-task mapping information 246.

The data storage information table 248 includes a data identification (ID) field 260, a data size field 262, an addressing information field 264, distributed storage (DS) information 266, and may further include other information regarding the data, how it is stored, and/or how it can be processed. For example, DS encoded data #1 has a data ID of 1, a data size of AA (e.g., a byte size of a few Terabytes or more), addressing information of Addr_1_AA, and DS parameters of 3/5; SEG_1; and SLC_1. In this example, the addressing information may be a virtual address corresponding to the virtual address of the first storage word (e.g., one or more bytes) of the data and information on how to calculate the other addresses, may be a range of virtual addresses for the storage words of the data, physical addresses of the first storage word or the storage words of the data, may be a list of slice names of the encoded data slices of the data, etc. The DS parameters may include identity of an error encoding scheme, decode threshold/pillar width (e.g., 3/5 for the first data entry), segment security information (e.g., SEG_1), per slice security information (e.g., SLC_1), and/or any other information regarding how the data was encoded into data slices.

The task storage information table 250 includes a task identification (ID) field 268, a task size field 270, an addressing information field 272, distributed storage (DS) information 274, and may further include other information regarding the task, how it is stored, and/or how it can be used to process data. For example, DS encoded task #2 has a task ID of 2, a task size of XY, addressing information of Addr_2_XY, and DS parameters of 3/5; SEG_2; and SLC_2. In this example, the addressing information may be a virtual address corresponding to the virtual address of the first storage word (e.g., one or more bytes) of the task and information on how to calculate the other addresses, may be a range of virtual addresses for the storage words of the task, physical addresses of the first storage word or the storage words of the task, may be a list of slices names of the encoded slices of the task code, etc. The DS parameters may include identity of an error encoding scheme, decode threshold/pillar width (e.g., 3/5 for the first data entry), segment security information (e.g., SEG_2), per slice security information (e.g., SLC_2), and/or any other information regarding how the task was encoded into encoded task slices. Note that the segment and/or the per-slice security information include a type of encryption (if enabled), a type of compression (if enabled), watermarking information (if enabled), and/or an integrity check scheme (if enabled).

The task

sub-task mapping information table 246 includes a task field 256 and a sub-task field 258. The task field 256 identifies a task stored in the memory of a distributed storage and task network (DSTN) module and the corresponding sub-task fields 258 indicates whether the task includes sub-tasks and, if so, how many and if any of the sub-tasks are ordered. In this example, the task

sub-task mapping information table 246 includes an entry for each task stored in memory of the DSTN module (e.g., task 1 through task k). In particular, this example indicates that task 1 includes 7 sub-tasks; task 2 does not include sub-tasks, and task k includes r number of sub-tasks (where r is an integer greater than or equal to two).

The DT execution module table 252 includes a DST execution unit ID field 276, a DT execution module ID field 278, and a DT execution module capabilities field 280. The DST execution unit ID field 276 includes the identity of DST units in the DSTN module. The DT execution module ID field 278 includes the identity of each DT execution unit in each DST unit. For example, DST unit 1 includes three DT executions modules (e.g., 1_1, 1_2, and 1_3). The DT execution capabilities field 280 includes identity of the capabilities of the corresponding DT execution unit. For example, DT execution module 1_1 includes capabilities X, where X includes one or more of MIPS capabilities, processing resources (e.g., quantity and capability of microprocessors, CPUs, digital signal processors, co-processor, microcontrollers, arithmetic logic circuitry, and/or any other analog and/or digital processing circuitry), availability of the processing resources, memory information (e.g., type, size, availability, etc.), and/or any information germane to executing one or more tasks.

From these tables, the task distribution module 232 generates the DST allocation information 242 to indicate where the data is stored, how to partition the data, where the task is stored, how to partition the task, which DT execution units should perform which partial task on which data partitions, where and how intermediate results are to be stored, etc. If multiple tasks are being performed on the same data or different data, the task distribution module factors such information into its generation of the DST allocation information.

FIG. 30 is a diagram of a specific example of a distributed computing system performing tasks on stored data as a task flow 318. In this example, selected data 92 is data 2 and selected tasks are tasks 1, 2, and 3. Task 1 corresponds to analyzing translation of data from one language to another (e.g., human language or computer language); task 2 corresponds to finding specific words and/or phrases in the data; and task 3 corresponds to finding specific translated words and/or phrases in translated data.

In this example, task 1 includes 7 sub-tasks: task 1_1—identify non-words (non-ordered); task 1_2—identify unique words (non-ordered); task 1_3—translate (non-ordered); task 1_4—translate back (ordered after task 1_3); task 1_5—compare to ID errors (ordered after task 1-4); task 1_6—determine non-word translation errors (ordered after task 1_5 and 1_1); and task 1_7—determine correct translations (ordered after 1_5 and 1_2). The sub-task further indicates whether they are an ordered task (i.e., are dependent on the outcome of another task) or non-order (i.e., are independent of the outcome of another task). Task 2 does not include sub-tasks and task 3 includes two sub-tasks: task 3_1 translate; and task 3_2 find specific word or phrase in translated data.

In general, the three tasks collectively are selected to analyze data for translation accuracies, translation errors, translation anomalies, occurrence of specific words or phrases in the data, and occurrence of specific words or phrases on the translated data. Graphically, the data 92 is translated 306 into translated data 282; is analyzed for specific words and/or phrases 300 to produce a list of specific words and/or phrases 286; is analyzed for non-words 302 (e.g., not in a reference dictionary) to produce a list of non-words 290; and is analyzed for unique words 316 included in the data 92 (i.e., how many different words are included in the data) to produce a list of unique words 298. Each of these tasks is independent of each other and can therefore be processed in parallel if desired.

The translated data 282 is analyzed (e.g., sub-task 3_2) for specific translated words and/or phrases 304 to produce a list of specific translated words and/or phrases 288. The translated data 282 is translated back 308 (e.g., sub-task 1_4) into the language of the original data to produce re-translated data 284. These two tasks are dependent on the translate task (e.g., task 1_3) and thus must be ordered after the translation task, which may be in a pipelined ordering or a serial ordering. The re-translated data 284 is then compared 310 with the original data 92 to find words and/or phrases that did not translate (one way and/or the other) properly to produce a list of incorrectly translated words 294. As such, the comparing task (e.g., sub-task 1_5) 310 is ordered after the translation 306 and re-translation tasks 308 (e.g., sub-tasks 1_3 and 1_4).

The list of words incorrectly translated 294 is compared 312 to the list of non-words 290 to identify words that were not properly translated because the words are non-words to produce a list of errors due to non-words 292. In addition, the list of words incorrectly translated 294 is compared 314 to the list of unique words 298 to identify unique words that were properly translated to produce a list of correctly translated words 296. The comparison may also identify unique words that were not properly translated to produce a list of unique words that were not properly translated. Note that each list of words (e.g., specific words and/or phrases, non-words, unique words, translated words and/or phrases, etc.,) may include the word and/or phrase, how many times it is used, where in the data it is used, and/or any other information requested regarding a word and/or phrase.

FIG. 31 is a schematic block diagram of an example of a distributed storage and task processing network (DSTN) module storing data and task codes for the example of FIG. 30. As shown, DS encoded data 2 is stored as encoded data slices across the memory (e.g., stored in memories 88) of DST execution units 1-5; the DS encoded task code 1 (of task 1) and DS encoded task 3 are stored as encoded task slices across the memory of DST execution units 1-5; and DS encoded task code 2 (of task 2) is stored as encoded task slices across the memory of DST execution units 3-7. As indicated in the data storage information table and the task storage information table of FIG. 29, the respective data/task has DS parameters of 3/5 for their decode threshold/pillar width; hence spanning the memory of five DST execution units.

FIG. 32 is a diagram of an example of distributed storage and task (DST) allocation information 242 for the example of FIG. 30. The DST allocation information 242 includes data partitioning information 320, task execution information 322, and intermediate result information 324. The data partitioning information 320 includes the data identifier (ID), the number of partitions to split the data into, address information for each data partition, and whether the DS encoded data has to be transformed from pillar grouping to slice grouping. The task execution information 322 includes tabular information having a task identification field 326, a task ordering field 328, a data partition field ID 330, and a set of DT execution modules 332 to use for the distributed task processing per data partition. The intermediate result information 324 includes tabular information having a name ID field 334, an ID of the DST execution unit assigned to process the corresponding intermediate result 336, a scratch pad storage field 338, and an intermediate result storage field 340.

Continuing with the example of FIG. 30, where tasks 1-3 are to be distributedly performed on data 2, the data partitioning information includes the ID of data 2. In addition, the task distribution module determines whether the DS encoded data 2 is in the proper format for distributed computing (e.g., was stored as slice groupings). If not, the task distribution module indicates that the DS encoded data 2 format needs to be changed from the pillar grouping format to the slice grouping format, which will be done by the DSTN module. In addition, the task distribution module determines the number of partitions to divide the data into (e.g., 2_1 through 2_z) and addressing information for each partition.

The task distribution module generates an entry in the task execution information section for each sub-task to be performed. For example, task 1_1 (e.g., identify non-words on the data) has no task ordering (i.e., is independent of the results of other sub-tasks), is to be performed on data partitions 2_1 through 2_z by DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1. For instance, DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 search for non-words in data partitions 2_1 through 2_z to produce task 1_1 intermediate results (R1-1, which is a list of non-words). Task 1_2 (e.g., identify unique words) has similar task execution information as task 1_1 to produce task 1_2 intermediate results (R1-2, which is the list of unique words).

Task 1_3 (e.g., translate) includes task execution information as being non-ordered (i.e., is independent), having DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 translate data partitions 2_1 through 2_4 and having DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2 translate data partitions 2_5 through 2 _(') z to produce task 1_3 intermediate results (R1-3, which is the translated data). In this example, the data partitions are grouped, where different sets of DT execution modules perform a distributed sub-task (or task) on each data partition group, which allows for further parallel processing.

Task 1_4 (e.g., translate back) is ordered after task 1_3 and is to be executed on task 1_3's intermediate result (e.g., R1-3_1) (e.g., the translated data). DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 are allocated to translate back task 1_3 intermediate result partitions R1-3_1 through R1-3_4 and DT execution modules 1_2, 2_2, 6_1, 7_1, and 7_2 are allocated to translate back task 1_3 intermediate result partitions R1-3_5 through R1-3_z to produce task 1-4 intermediate results (R1-4, which is the translated back data).

Task 1_5 (e.g., compare data and translated data to identify translation errors) is ordered after task 1_4 and is to be executed on task 1_4's intermediate results (R4-1) and on the data. DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 are allocated to compare the data partitions (2_1 through 2_z) with partitions of task 1-4 intermediate results partitions R1-4_1 through R1-4_z to produce task 1_5 intermediate results (R1-5, which is the list words translated incorrectly).

Task 1_6 (e.g., determine non-word translation errors) is ordered after tasks 1_1 and 1_5 and is to be executed on tasks 1_1's and 1_5's intermediate results (R1-1 and R1-5). DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 are allocated to compare the partitions of task 1_1 intermediate results (R1-1_1 through R1-1_z) with partitions of task 1-5 intermediate results partitions (R1-5_1 through R1-5_z) to produce task 1_6 intermediate results (R1-6, which is the list translation errors due to non-words).

Task 1_7 (e.g., determine words correctly translated) is ordered after tasks 1_2 and 1_5 and is to be executed on tasks 1_2's and 1_5's intermediate results (R1-1 and R1-5). DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2 are allocated to compare the partitions of task 1_2 intermediate results (R1-2_1 through R1-2_z) with partitions of task 1-5 intermediate results partitions (R1-5_1 through R1-5_z) to produce task 1_7 intermediate results (R1-7, which is the list of correctly translated words).

Task 2 (e.g., find specific words and/or phrases) has no task ordering (i.e., is independent of the results of other sub-tasks), is to be performed on data partitions 2_1 through 2_z by DT execution modules 3_1, 4_1, 5_1, 6_1, and 7_1. For instance, DT execution modules 3_1, 4_1, 5_1, 6_1, and 7_1 search for specific words and/or phrases in data partitions 2_1 through 2_z to produce task 2 intermediate results (R2, which is a list of specific words and/or phrases).

Task 3_2 (e.g., find specific translated words and/or phrases) is ordered after task 1_3 (e.g., translate) is to be performed on partitions R1-3_1 through R1-3_z by DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2. For instance, DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2 search for specific translated words and/or phrases in the partitions of the translated data (R1-3_1 through R1-3_z) to produce task 3_2 intermediate results (R3-2, which is a list of specific translated words and/or phrases).

For each task, the intermediate result information indicates which DST unit is responsible for overseeing execution of the task and, if needed, processing the partial results generated by the set of allocated DT execution units. In addition, the intermediate result information indicates a scratch pad memory for the task and where the corresponding intermediate results are to be stored. For example, for intermediate result R1-1 (the intermediate result of task 1_1), DST unit 1 is responsible for overseeing execution of the task 1_1 and coordinates storage of the intermediate result as encoded intermediate result slices stored in memory of DST execution units 1-5. In general, the scratch pad is for storing non-DS encoded intermediate results and the intermediate result storage is for storing DS encoded intermediate results.

FIGS. 33-38 are schematic block diagrams of the distributed storage and task network (DSTN) module performing the example of FIG. 30. In FIG. 33, the DSTN module accesses the data 92 and partitions it into a plurality of partitions 1-z in accordance with distributed storage and task network (DST) allocation information. For each data partition, the DSTN identifies a set of its DT (distributed task) execution modules 90 to perform the task (e.g., identify non-words (i.e., not in a reference dictionary) within the data partition) in accordance with the DST allocation information. From data partition to data partition, the set of DT execution modules 90 may be the same, different, or a combination thereof (e.g., some data partitions use the same set while other data partitions use different sets).

For the first data partition, the first set of DT execution modules (e.g., 1_1, 2_1, 3_1, 4_1, and 5_1 per the DST allocation information of FIG. 32) executes task 1_1 to produce a first partial result 102 of non-words found in the first data partition. The second set of DT execution modules (e.g., 1_1, 2_1, 3_1, 4_1, and 5_1 per the DST allocation information of FIG. 32) executes task 1_1 to produce a second partial result 102 of non-words found in the second data partition. The sets of DT execution modules (as per the DST allocation information) perform task 1_1 on the data partitions until the “z” set of DT execution modules performs task 1_1 on the “zth” data partition to produce a “zth” partial result 102 of non-words found in the “zth” data partition.

As indicated in the DST allocation information of FIG. 32, DST execution unit 1 is assigned to process the first through “zth” partial results to produce the first intermediate result (R1-1), which is a list of non-words found in the data. For instance, each set of DT execution modules 90 stores its respective partial result in the scratchpad memory of DST execution unit 1 (which is identified in the DST allocation or may be determined by DST execution unit 1). A processing module of DST execution 1 is engaged to aggregate the first through “zth” partial results to produce the first intermediate result (e.g., R1_1). The processing module stores the first intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 1.

DST execution unit 1 engages its DST client module to slice grouping based DS error encode the first intermediate result (e.g., the list of non-words). To begin the encoding, the DST client module determines whether the list of non-words is of a sufficient size to partition (e.g., greater than a Terabyte). If yes, it partitions the first intermediate result (R1-1) into a plurality of partitions (e.g., R1-1_1 through R1-1_m). If the first intermediate result is not of sufficient size to partition, it is not partitioned.

For each partition of the first intermediate result, or for the first intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 1-5).

In FIG. 34, the DSTN module is performing task 1_2 (e.g., find unique words) on the data 92. To begin, the DSTN module accesses the data 92 and partitions it into a plurality of partitions 1-z in accordance with the DST allocation information or it may use the data partitions of task 1_1 if the partitioning is the same. For each data partition, the DSTN identifies a set of its DT execution modules to perform task 1_2 in accordance with the DST allocation information. From data partition to data partition, the set of DT execution modules may be the same, different, or a combination thereof. For the data partitions, the allocated set of DT execution modules executes task 1_2 to produce a partial results (e.g., 1^(st) through “zth”) of unique words found in the data partitions.

As indicated in the DST allocation information of FIG. 32, DST execution unit 1 is assigned to process the first through “zth” partial results 102 of task 1_2 to produce the second intermediate result (R1-2), which is a list of unique words found in the data 92. The processing module of DST execution 1 is engaged to aggregate the first through “zth” partial results of unique words to produce the second intermediate result. The processing module stores the second intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 1.

DST execution unit 1 engages its DST client module to slice grouping based DS error encode the second intermediate result (e.g., the list of non-words). To begin the encoding, the DST client module determines whether the list of unique words is of a sufficient size to partition (e.g., greater than a Terabyte). If yes, it partitions the second intermediate result (R1-2) into a plurality of partitions (e.g., R1-2_1 through R1-2_m). If the second intermediate result is not of sufficient size to partition, it is not partitioned.

For each partition of the second intermediate result, or for the second intermediate results, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 1-5).

In FIG. 35, the DSTN module is performing task 1_3 (e.g., translate) on the data 92. To begin, the DSTN module accesses the data 92 and partitions it into a plurality of partitions 1-z in accordance with the DST allocation information or it may use the data partitions of task 1_1 if the partitioning is the same. For each data partition, the DSTN identifies a set of its DT execution modules to perform task 1_3 in accordance with the DST allocation information (e.g., DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 translate data partitions 2_1 through 2_4 and DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2 translate data partitions 2_5 through 2_z). For the data partitions, the allocated set of DT execution modules 90 executes task 1_3 to produce partial results 102 (e.g., 1^(st) through “zth”) of translated data.

As indicated in the DST allocation information of FIG. 32, DST execution unit 2 is assigned to process the first through “zth” partial results of task 1_3 to produce the third intermediate result (R1-3), which is translated data. The processing module of DST execution 2 is engaged to aggregate the first through “zth” partial results of translated data to produce the third intermediate result. The processing module stores the third intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 2.

DST execution unit 2 engages its DST client module to slice grouping based DS error encode the third intermediate result (e.g., translated data). To begin the encoding, the DST client module partitions the third intermediate result (R1-3) into a plurality of partitions (e.g., R1-3_1 through R1-3_y). For each partition of the third intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 2-6 per the DST allocation information).

As is further shown in FIG. 35, the DSTN module is performing task 1_4 (e.g., retranslate) on the translated data of the third intermediate result. To begin, the DSTN module accesses the translated data (from the scratchpad memory or from the intermediate result memory and decodes it) and partitions it into a plurality of partitions in accordance with the DST allocation information. For each partition of the third intermediate result, the DSTN identifies a set of its DT execution modules 90 to perform task 1_4 in accordance with the DST allocation information (e.g., DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1 are allocated to translate back partitions R1-3_1 through R1-3_4 and DT execution modules 1_2, 2_2, 6_1, 7_1, and 7_2 are allocated to translate back partitions R1-3_5 through R1-3_z). For the partitions, the allocated set of DT execution modules executes task 1_4 to produce partial results 102 (e.g., 1^(st) through “zth”) of re-translated data.

As indicated in the DST allocation information of FIG. 32, DST execution unit 3 is assigned to process the first through “zth” partial results of task 1_4 to produce the fourth intermediate result (R1-4), which is retranslated data. The processing module of DST execution 3 is engaged to aggregate the first through “zth” partial results of retranslated data to produce the fourth intermediate result. The processing module stores the fourth intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 3.

DST execution unit 3 engages its DST client module to slice grouping based DS error encode the fourth intermediate result (e.g., retranslated data). To begin the encoding, the DST client module partitions the fourth intermediate result (R1-4) into a plurality of partitions (e.g., R1-4_1 through R1-4_z). For each partition of the fourth intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 3-7 per the DST allocation information).

In FIG. 36, a distributed storage and task network (DSTN) module is performing task 1_5 (e.g., compare) on data 92 and retranslated data of FIG. 35. To begin, the DSTN module accesses the data 92 and partitions it into a plurality of partitions in accordance with the DST allocation information or it may use the data partitions of task 1_1 if the partitioning is the same. The DSTN module also accesses the retranslated data from the scratchpad memory, or from the intermediate result memory and decodes it, and partitions it into a plurality of partitions in accordance with the DST allocation information. The number of partitions of the retranslated data corresponds to the number of partitions of the data.

For each pair of partitions (e.g., data partition 1 and retranslated data partition 1), the DSTN identifies a set of its DT execution modules 90 to perform task 1_5 in accordance with the DST allocation information (e.g., DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1). For each pair of partitions, the allocated set of DT execution modules executes task 1_5 to produce partial results 102 (e.g., 1^(st) through “zth”) of a list of incorrectly translated words and/or phrases.

As indicated in the DST allocation information of FIG. 32, DST execution unit 1 is assigned to process the first through “zth” partial results of task 1_5 to produce the fifth intermediate result (R1-5), which is the list of incorrectly translated words and/or phrases. In particular, the processing module of DST execution 1 is engaged to aggregate the first through “zth” partial results of the list of incorrectly translated words and/or phrases to produce the fifth intermediate result. The processing module stores the fifth intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 1.

DST execution unit 1 engages its DST client module to slice grouping based DS error encode the fifth intermediate result. To begin the encoding, the DST client module partitions the fifth intermediate result (R1-5) into a plurality of partitions (e.g., R1-5_1 through R1-5_z). For each partition of the fifth intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 1-5 per the DST allocation information).

As is further shown in FIG. 36, the DSTN module is performing task 1_6 (e.g., translation errors due to non-words) on the list of incorrectly translated words and/or phrases (e.g., the fifth intermediate result R1-5) and the list of non-words (e.g., the first intermediate result R1-1). To begin, the DSTN module accesses the lists and partitions them into a corresponding number of partitions.

For each pair of partitions (e.g., partition R1-1_1 and partition R1-5_1), the DSTN identifies a set of its DT execution modules 90 to perform task 1_6 in accordance with the DST allocation information (e.g., DT execution modules 1_1, 2_1, 3_1, 4_1, and 5_1). For each pair of partitions, the allocated set of DT execution modules executes task 1_6 to produce partial results 102 (e.g., 1^(th) through “zth”) of a list of incorrectly translated words and/or phrases due to non-words.

As indicated in the DST allocation information of FIG. 32, DST execution unit 2 is assigned to process the first through “zth” partial results of task 1_6 to produce the sixth intermediate result (R1-6), which is the list of incorrectly translated words and/or phrases due to non-words. In particular, the processing module of DST execution 2 is engaged to aggregate the first through “zth” partial results of the list of incorrectly translated words and/or phrases due to non-words to produce the sixth intermediate result. The processing module stores the sixth intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 2.

DST execution unit 2 engages its DST client module to slice grouping based DS error encode the sixth intermediate result. To begin the encoding, the DST client module partitions the sixth intermediate result (R1-6) into a plurality of partitions (e.g., R1-6_1 through R1-6_z). For each partition of the sixth intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 2-6 per the DST allocation information).

As is still further shown in FIG. 36, the DSTN module is performing task 1_7 (e.g., correctly translated words and/or phrases) on the list of incorrectly translated words and/or phrases (e.g., the fifth intermediate result R1-5) and the list of unique words (e.g., the second intermediate result R1-2). To begin, the DSTN module accesses the lists and partitions them into a corresponding number of partitions.

For each pair of partitions (e.g., partition R1-2_1 and partition R1-5_1), the DSTN identifies a set of its DT execution modules 90 to perform task 1_7 in accordance with the DST allocation information (e.g., DT execution modules 1_2, 2_2, 3_2, 4_2, and 5_2). For each pair of partitions, the allocated set of DT execution modules executes task 1_7 to produce partial results 102 (e.g., 1^(st) through “zth”) of a list of correctly translated words and/or phrases.

As indicated in the DST allocation information of FIG. 32, DST execution unit 3 is assigned to process the first through “zth” partial results of task 1_7 to produce the seventh intermediate result (R1-7), which is the list of correctly translated words and/or phrases. In particular, the processing module of DST execution 3 is engaged to aggregate the first through “zth” partial results of the list of correctly translated words and/or phrases to produce the seventh intermediate result. The processing module stores the seventh intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 3.

DST execution unit 3 engages its DST client module to slice grouping based DS error encode the seventh intermediate result. To begin the encoding, the DST client module partitions the seventh intermediate result (R1-7) into a plurality of partitions (e.g., R1-7_1 through R1-7_z). For each partition of the seventh intermediate result, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 3-7 per the DST allocation information).

In FIG. 37, the distributed storage and task network (DSTN) module is performing task 2 (e.g., find specific words and/or phrases) on the data 92. To begin, the DSTN module accesses the data and partitions it into a plurality of partitions 1-z in accordance with the DST allocation information or it may use the data partitions of task 1_1 if the partitioning is the same. For each data partition, the DSTN identifies a set of its DT execution modules 90 to perform task 2 in accordance with the DST allocation information. From data partition to data partition, the set of DT execution modules may be the same, different, or a combination thereof. For the data partitions, the allocated set of DT execution modules executes task 2 to produce partial results 102 (e.g., 1^(st) through “zth”) of specific words and/or phrases found in the data partitions.

As indicated in the DST allocation information of FIG. 32, DST execution unit 7 is assigned to process the first through “zth” partial results of task 2 to produce task 2 intermediate result (R2), which is a list of specific words and/or phrases found in the data. The processing module of DST execution 7 is engaged to aggregate the first through “zth” partial results of specific words and/or phrases to produce the task 2 intermediate result. The processing module stores the task 2 intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 7.

DST execution unit 7 engages its DST client module to slice grouping based DS error encode the task 2 intermediate result. To begin the encoding, the DST client module determines whether the list of specific words and/or phrases is of a sufficient size to partition (e.g., greater than a Terabyte). If yes, it partitions the task 2 intermediate result (R2) into a plurality of partitions (e.g., R2_1 through R2_m). If the task 2 intermediate result is not of sufficient size to partition, it is not partitioned.

For each partition of the task 2 intermediate result, or for the task 2 intermediate results, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 1-4, and 7).

In FIG. 38, the distributed storage and task network (DSTN) module is performing task 3 (e.g., find specific translated words and/or phrases) on the translated data (R1-3). To begin, the DSTN module accesses the translated data (from the scratchpad memory or from the intermediate result memory and decodes it) and partitions it into a plurality of partitions in accordance with the DST allocation information. For each partition, the DSTN identifies a set of its DT execution modules to perform task 3 in accordance with the DST allocation information. From partition to partition, the set of DT execution modules may be the same, different, or a combination thereof. For the partitions, the allocated set of DT execution modules 90 executes task 3 to produce partial results 102 (e.g., 1^(st) through “zth”) of specific translated words and/or phrases found in the data partitions.

As indicated in the DST allocation information of FIG. 32, DST execution unit 5 is assigned to process the first through “zth” partial results of task 3 to produce task 3 intermediate result (R3), which is a list of specific translated words and/or phrases found in the translated data. In particular, the processing module of DST execution 5 is engaged to aggregate the first through “zth” partial results of specific translated words and/or phrases to produce the task 3 intermediate result. The processing module stores the task 3 intermediate result as non-DS error encoded data in the scratchpad memory or in another section of memory of DST execution unit 7.

DST execution unit 5 engages its DST client module to slice grouping based DS error encode the task 3 intermediate result. To begin the encoding, the DST client module determines whether the list of specific translated words and/or phrases is of a sufficient size to partition (e.g., greater than a Terabyte). If yes, it partitions the task 3 intermediate result (R3) into a plurality of partitions (e.g., R3_1 through R3_m). If the task 3 intermediate result is not of sufficient size to partition, it is not partitioned.

For each partition of the task 3 intermediate result, or for the task 3 intermediate results, the DST client module uses the DS error encoding parameters of the data (e.g., DS parameters of data 2, which includes 3/5 decode threshold/pillar width ratio) to produce slice groupings. The slice groupings are stored in the intermediate result memory (e.g., allocated memory in the memories of DST execution units 1-4, 5, and 7).

FIG. 39 is a diagram of an example of combining result information into final results 104 for the example of FIG. 30. In this example, the result information includes the list of specific words and/or phrases found in the data (task 2 intermediate result), the list of specific translated words and/or phrases found in the data (task 3 intermediate result), the list of non-words found in the data (task 1 first intermediate result R1-1), the list of unique words found in the data (task 1 second intermediate result R1-2), the list of translation errors due to non-words (task 1 sixth intermediate result R1-6), and the list of correctly translated words and/or phrases (task 1 seventh intermediate result R1-7). The task distribution module provides the result information to the requesting DST client module as the results 104.

FIGS. 40A-D are schematic block diagrams of an embodiment of a dispersed storage network (DSN) illustrating example of storing data, where the DSN includes the distributed storage and task (DST) client module 34 of FIG. 1, the network 24 of FIG. 1, and a DST execution unit set 350. The DST client module 34 includes the outbound dispersed storage (DS) processing module 80 of FIG. 3. The DST execution unit set 350 includes a set of DST execution units 36 of FIG. 1, where one or more DST execution units are deployed at one or more sites. Each DST execution unit provides at least one storage slot of N storage slots. A storage slot includes at least one of a virtual storage location associated with physical memory of the DST execution unit. For example, the DST execution unit set 350 includes DST execution units 1-14 when 30 storage slots are provided and a varying number of storage slots are associated with each DST execution unit.

The DSN functions to store data to the DST execution unit set 350 and to retrieve the stored data from the DST execution unit set 350. FIG. 40A illustrates initial steps of an example of operation of the storing of the data to the DST execution unit set 350, where the outbound DS processing module 80 receives a write data object request 352 from a requesting entity. The write data object request 352 includes one or more of a data object for storage in the DSN, a data identifier (ID) of the data object, an ID of the requesting entity, and a desired performance level indicator. Having received the write data object request 352, the outbound DS processing module 80 obtains dispersal parameters. The dispersal parameters includes one or more of a number of storage slots N, an information dispersal algorithm (IDA) width number, a write threshold number, a read threshold number, and a decode threshold number, where a decode threshold number is a minimum number of required encoded data slices of the set of encoded data slices to recover a data segment and where the data segment is dispersed storage error encoded to produce a set of encoded data slices that includes an IDA width number of encoded data slices. The obtaining includes at least one of retrieving a portion of system registry information, utilizing a predetermination, determining based on the desired performance level indicator, and accessing a list based on the requesting entity ID.

Having obtained the dispersal parameters, the outbound DS processing module 80 selects a set of primary storage slots of N storage slots associated with the DST execution unit set, where the set of storage slots includes at least a decode threshold number of storage slots and at most an IDA width number of storage slots. The selecting may be based on one or more of DST execution unit availability information, site availability information, system topology information, a system loading level, a system loading goal level, a data storage availability goal, a data retrieval reliability goal, and a site selection scheme. As a specific example, the outbound DS processing module 80 selects the IDA width number of storage slots out of the N storage slots. As such, the outbound DS processing module 80 selects one permutation out of a number of permutations expressed by a formula: number of permutations of the selecting of the IDA width number of storage slots=N choose IDA width. For instance, the number of permutations of selecting the IDA width number of storage slots=30 choose 15=155 million permutations, when N=30 and the IDA width=15.

Storage of data within the DST execution unit set can tolerate a number of storage slot failures and/or unavailability without affecting data storage availability and data retrieval reliability in accordance with a formula: number of storage slot failures tolerated=N−IDA width=30−15=15. As such, the storage of data within the DST execution unit set can tolerate 15 storage slot failures.

The outbound DS processing module 80 may select the IDA width number of storage slots in accordance with the site selection scheme to improve the data retrieval reliability. For example, the outbound DS processing module 80 selects storage slots at each site of the one or more sites such that at least a decode threshold number of encoded data slices are available from available storage slots at a minimum desired number of sites. As a specific example, the outbound DS processing module 80 selects storage slots associated with available and better-than-average performing DST execution units such that the decode threshold number of encoded data slices are available from any two operational sites when one of three total sites is unavailable. For instance, the outbound DS processing module 80 selects 5 storage slots at each of the 3 sites when the IDA width is 15 and the decode threshold is 10 in accordance with an even distribution selection scheme.

Having selected the set of primary storage slots, the outbound DS processing module 80 encodes the data object using a dispersed storage error encoding function and in accordance with the dispersal parameters to produce a plurality of sets of encoded data slices. For example, the outbound DS processing module 80 encodes a first data segment of a plurality of data segments of the data object to produce a first set of encoded data slices, where the first set of encoded data slices includes the IDA width number of slices and the first data segment may be recovered when at least any decode threshold number of encoded data slices of the set of encoded data slices is retrievable.

Having encoded the data object, the outbound DS processing module 80 identifies an encoded data slice of a set of encoded data slices for a redundant write operation to produce an identified encoded data slice. The identifying may be based on one or more of a performance level of an associated DST execution unit, a DST execution unit performance goal level, a network loading level, a network loading level goal. For example, the outbound DS processing module 80 selects encoded data slice 15 for replication when encoded data slice 15 is associated with a 15th storage slot of the set of primary storage slots and the fifteenth storage slot is associated with DST execution unit 13, where DST execution unit 13 (e.g., storage slot 29 of 30) is associated with a DST execution unit performance level that is less than the DST execution unit performance goal level.

Having identified the at least one encoded data slice for replication, the outbound DS processing module 80, for each identified encoded data slice replication, determines a number of redundant slices to produce based on one or more of a desired performance level, a lookup, and a predetermination. For example, the outbound DS processing module 80 determines to produce three redundant slices for encoded data slice 15 when the desired performance level indicates to produce three redundant slices.

Having determined the number of redundant slices to produce, the outbound DS processing module 80 replicates the identified encoded data slice to produce the number of redundant slices. For instance, the outbound DS processing module 80 replicates encoded data slice 15 to produce three redundant encoded data slices 15.

Having produced the redundant slices (e.g., replicated encoded data slices), for each redundant slice, the outbound DS processing module 80 selects at least one alternate storage slot. The selecting may be based on one or more of a slice to storage slot mapping, performance levels of the DST execution units, a DST execution unit performance threshold level, a performance goal, a network loading level, and a network loading level goal. For example, the outbound DS processing module 80 selects storage slots 9, 17, and 30 for storage of the redundant slices when storage slots 9, 17, and 30 are not included in the set of primary storage slots and performance levels of the associated DST execution units (e.g., DST EX units 4, 7, and 14) are each greater than the DST execution unit performance threshold level.

FIG. 40B illustrates further steps of the example of operation of the storing of the data to the DST execution unit set, where the outbound DS processing module 80 generates a set of first write slice requests 354 regarding the set of encoded data slices less the identified encoded data slice. As a specific example, the outbound DS processing module 80 generates one or more sets of write slice requests 304, where the one or more sets of write slice requests 354 includes the set of encoded data slices less encoded data slice 15.

Having generated the set of first write slice requests 354, the outbound DS processing module 80 sends, via the network 24, the set of first write slice requests 354 to DST execution units (e.g., storage units of the DSN) of the DST execution unit set 350 that correspond to the selected set of primary storage slots. For instance, the outbound DS processing module 80 sends write slice requests to store encoded data slices 1-2 in storage slots 1-2 of DST execution unit 1, encoded data slices 3-4 in storage slots 4-5 of DST execution unit 2, encoded data slice 5 in storage slot 7 of DST execution unit 3, encoded data slice 6 in storage slot 13 of DST execution unit 5, encoded data slices 7-9 in storage slots 14-16 of DST execution unit 6, encoded data slice 10 in storage slot 19 of DST execution unit 8, encoded data slices 11-12 in storage slots 23-24 of DST execution unit 10, and encoded data slices 13-14 in storage slots 27-28 of DST execution unit 12.

Having sent the set of first write requests, the outbound DS processing module 80 generates a set of second write slice requests 354 regarding the identified encoded data slice. As a specific example, the set of second write slice requests 354 includes the identified encoded data slice and the one or more redundant encoded data slices of the identified encoded data slice. For instance, the set of second write slice requests 354 includes encoded data slice 15, and the three copies of redundant encoded data slice 15.

Having generated the set of second write requests, the outbound DS processing module 80 sends, via the network 24, the set of second write requests to a set of storage units of the DSN, wherein each storage unit of the set of storage units is sent a corresponding one of the set of second write requests. For instance, the outbound DS processing module 80 sends write slice requests to DST execution unit 4 to store a first redundant encoded data slice 15 in storage slot 9, sends another write slice request to DST execution unit 7 to store a second redundant encoded data slice 15 in storage slot 17, sends yet another write slice request to DST execution unit 14 to store a third redundant encoded data slice 15 in storage slot 30 and sends a further write slice request to DST execution unit 13 to store encoded data slice 15 (e.g., the identified encoded data slice) in storage slot 29 of DST execution unit 13.

Alternatively, or in addition to, the outbound DS processing module 80 may identify a second encoded data slice of the set of encoded data slices for the redundant write operation to produce a second identified encoded data slice. When producing the second encoded data slice, the outbound DS processing module 80 generates the set of first write requests regarding the set of encoded data slices less the identified encoded data slice and the second identified encoded data slice. Having generated the set of first write requests, the outbound DS processing module 80 generates a set of third write requests regarding the second identified encoded data slice. For instance, the set of third write requests includes the second identified encoded data slice and one or more replicates of the second identified encoded data slice. Having generated the set of third write requests, the outbound DS processing module 80 sends, via the network 24, the set of third write requests to a second set of storage units of the DSN, where each storage unit of the second set of storage units is sent a corresponding one of the set of third write requests.

FIG. 40C illustrates further steps of the example of operation of the storing of the data to the DST execution unit set, where the outbound DS processing module 80 receives, via the network 24, write responses 356 from at least some storage units of a combined set of storage units that includes the storage units and the set of storage units. Each write slice response includes a write operation status indicator. The write operation status indicator includes a favorable indication when a corresponding write slice request was successfully executed. The write operation status indicator includes an unfavorable indication when the corresponding write slice request was not successfully executed (e.g., due to an error).

The receiving of the write slice responses 356 may be associated with varying timing such that individual write slice responses 356 from different DST execution units are received within different time frames by the outbound DS processing module 80. For instance, a favorable write slice response 356 may be received from DST execution unit 4 regarding redundant encoded data slice 15 before receiving another favorable write slice response 356 from DST execution unit 7 regarding another redundant encoded data slice 15.

FIG. 40D illustrates further steps of the example of operation of the storing of the data to the DST execution unit set, where the outbound DS processing module 80, having received the write responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units, issues one or more commands based on the received write responses. As a specific example, the outbound DS processing module 80 receives a write response 356 from a storage unit of the set of storage units (e.g., a DST execution unit associated with storage of the identified encoded data slice and the redundant encoded data slices) and sends, via the network 24, a delete write request (e.g., a rollback request 360) to remaining storage units of the set of storage units. For instance, the outbound DS processing module 80 receives the write response 356 from DST execution unit 14 with regards to redundant encoded data slice 15 and sends, via the network 24, rollback requests 360 to DST execution units 4, 7, and 13 to facilitate deletion of redundant encoded data slices 15 and the identified encoded data slice 15.

As another specific group of examples, the outbound DS processing module 80 receives, via the network 24, the write responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units and issues the one or more commands based on the received write responses. As a first specific example of the group of examples, the issuing of the one or more commands includes, when a threshold number of write responses (e.g., favorable write threshold number for unique slices) have been received, the outbound DS processing module 80 sends, via the network 24, a write commit command (e.g., commit request 358) to each storage unit of the at least some storage units of the combined set of storage units (e.g., send to storage units storing unique slices). For instance, the outbound DS processing module 80 generates and sends, via the network 24, commit requests 358 to commit storage of encoded data slices 1-2 in storage slots 1-2 of DST execution unit 1, encoded data slices 3-4 in storage slots 4-5 of DST execution unit 2, encoded data slice 5 in storage slot 7 of DST execution unit 3, encoded data slice 6 in storage slot 13 of DST execution unit 5, encoded data slices 7-9 in storage slots 14-16 of DST execution unit 6, encoded data slice 10 in storage slot 19 of DST execution unit 8, encoded data slices 11-12 in storage slots 23-24 of DST execution unit 10, encoded data slices 13-14 in storage slots 27-28 of DST execution unit 12, and redundant encoded data slices 15 in storage slots 30 of DST execution unit 14.

As a second specific example of the group of examples, the issuing of the one or more commands includes the outbound DS processing module 80 determining whether the at least some storage units of the combined set of storage units include a storage unit of the set of storage units. When the at least some storage units of the combined set of storage units includes the storage unit of the set of storage units, the outbound DS processing module 80 sends, via the network 24, a write commit command 358 to the storage unit of the set of storage units and sends, via the network 24, a rollback command 360 to each remaining storage unit of the set of storage units (e.g., to just keep one slice).

As a third specific example of the group of examples, the issuing of the one or more commands includes the outbound DS processing module 80 determining whether the at least some storage units of the combined set of storage units include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units does not include the storage unit of the set of storage units, the outbound DS processing module 80 sends, via the network 24, the rollback command 360 to each storage unit of the set of storage units (e.g., to delete replicate slices and the identified encoded data slice since not needed).

As a fourth specific example of the group of examples, the issuing of the one or more commands includes the outbound DS processing module 80 receiving, via the network 24, commit responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units. When a commit threshold number of commit responses have been received, the outbound DS processing module 80 sends, via the network 24, a write finalize command to each storage unit of the at least some storage units of the combined set of storage units (e.g., send to units storing unique slices).

As a fifth specific example of the group of examples, the issuing of the one or more commands includes the outbound DS processing module 80 determining whether the at least some storage units of the combined set of storage units that provided the commit responses include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units that provided the commit responses includes the storage unit of the set of storage units, the outbound DS processing module 80 sends, via the network 24, a write finalize command to the storage unit of the set of storage units and sends, via the network 24, an undo command to each remaining storage unit of the set of storage units (e.g., to just keep one slice).

As a sixth specific example of the group of examples, the issuing of the one or more commands includes the outbound DS processing module 80 determining whether the at least some storage units of the combined set of storage units that provided the commit responses include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units that provided the commit responses units does not include the storage unit of the set of storage units, the outbound DS processing module 80 sends, via the network 24, an undo command to the set of storage units (e.g., to delete replicate slices and the identified encoded data slice since not needed).

FIG. 40E is a flowchart illustrating an example of storing data. In particular, a method is presented for use in conjunction with one or more functions and features described in conjunction with FIGS. 1-39 and 40A-D. The method begins at step 370 where a processing module of a computing device of one or more computing devices of a dispersed storage network (DSN) identifies an encoded data slice of a set of encoded data slices for a redundant write operation to produce an identified encoded data slice. For example, the processing module identifies an encoded data slice slated for storage to a storage unit associated with an unfavorable storage reliability level.

The method continues at step 372 where the processing module generates a set of first write requests regarding the set of encoded data slices less the identified encoded data slice. The method continues at step 374 where the processing module generates a set of second write requests regarding the identified encoded data slice (e.g., includes the identified encoded data slice and one or more replicates of the identified encoded data slice).

The method continues at step 376 where the processing module sends the set of first write requests to storage units of the DSN. The method continues at step 378 where the processing module sends the set of second write requests to a set of storage units of the DSN, where each storage unit of the set of storage units is sent a corresponding one of the set of second write requests. Alternatively, or in addition to, the processing module may identify a second encoded data slice of the set of encoded data slices for the redundant write operation to produce a second identified encoded data slice. When identifying the second encoded data slice, the processing module generates the set of first write requests regarding the set of encoded data slices less the identified encoded data slice and the second identified encoded data slice. Having generated the set of first write requests, the processing module generates a set of third write requests regarding the second identified encoded data slice (e.g., includes the second identified encoded data slice and one or more replicates of the second identified encoded data slice). Having generated the set of third write requests, the processing module sends the set of third write requests to a second set of storage units of the DSN, where each storage unit of the second set of storage units is sent a corresponding one of the set of third write requests.

The method continues at step 380 where the processing module receives write responses from at least some storage units of a combined set of storage units that includes the storage units and the set of storage units. The method continues at step 382 where the processing module issues one or more commands based on the received write responses. As a specific example, the processing module receives a write response from a storage unit of the set of storage units and sends a delete write request (e.g., a rollback request) to remaining storage units of the set of storage units.

As another specific group of examples, the processing module receives the write responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units and issues the one or more commands based on the received write responses. As a first specific example of the group of examples, the issuing of the one or more commands includes, when a threshold number of write responses (e.g., favorable write threshold number for unique slices) have been received, the processing module sends a write commit command to each storage unit of the at least some storage units of the combined set of storage units (e.g., send to storage units storing unique slices).

As a second specific example of the group of examples, the issuing of the one or more commands includes the processing module determining whether the at least some storage units of the combined set of storage units include a storage unit of the set of storage units. When the at least some storage units of the combined set of storage units includes the storage unit of the set of storage units, the processing module sends a write commit command to the storage unit of the set of storage units and sends a rollback command to each remaining storage unit of the set of storage units (e.g., to just keep one slice).

As a third specific example of the group of examples, the issuing of the one or more commands includes the processing module determining whether the at least some storage units of the combined set of storage units include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units does not include the storage unit of the set of storage units, the processing module sends the rollback command to each storage unit of the set of storage units (e.g., to delete replicate slices and the identified encoded data slice since not needed).

As a fourth specific example of the group of examples, the issuing of the one or more commands includes the processing module receiving commit responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units. When a commit threshold number of commit responses have been received, the processing module sends a write finalize command to each storage unit of the at least some storage units of the combined set of storage units (e.g., send to units storing unique slices).

As a fifth specific example of the group of examples, the issuing of the one or more commands includes the processing module determining whether the at least some storage units of the combined set of storage units that provided the commit responses include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units that provided the commit responses includes the storage unit of the set of storage units, the processing module sends a write finalize command to the storage unit of the set of storage units and sends an undo command to each remaining storage unit of the set of storage units (e.g., to just keep one slice).

As a sixth specific example of the group of examples, the issuing of the one or more commands includes the processing module determining whether the at least some storage units of the combined set of storage units that provided the commit responses include the storage unit of the set of storage units. When the at least some storage units of the combined set of storage units that provided the commit responses units does not include the storage unit of the set of storage units, the processing module sends an undo command to the set of storage units (e.g., to delete replicate slices and the identified encoded data slice since not needed).

The method described above in conjunction with the processing module can alternatively be performed by other modules of the dispersed storage network or by other devices. In addition, at least one memory section that stores operational instructions can, when executed by one or more processing modules of one or more computing devices of the dispersed storage network (DSN), cause the one or more computing devices to perform any or all of the method steps described above.

FIG. 41A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) that includes the DST execution unit set 350 of FIG. 40A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 1. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set, to recover the stored data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices, and to determine missing encoded data slices.

In an example of operation of the determining the missing encoded data slices, the inbound DS processing module 82 determines a source name 392 for a stored data object to be scanned for missing slices. The determining may be based on one or more of identifying the source name 392 from a list of source names to be scanned, a list of data objects to be scanned, interpreting a schedule, receiving an error message, and performing a directory lookup. For example, the inbound DS processing module 82 identifies a next source name as the source name on the list of source names to be scanned.

A source name includes a vault identifier (ID) 394 and an object ID 396. The vault ID 394 may be associated with an affiliation of commonalities, where the commonalities include one or more of user devices of a common group, users of the user devices, a common group of associated data, and any other commonality. The object ID 396 may be generated as a unique value associated with storage of a particular data object. The generating includes at least one of generating a random number as the unique value and performing a deterministic function on an aspect of storing data to produce the unique value. The deterministic function includes at least one of a hashing function, a mask generating function, a sponge function, and a hash based message authentication code. The aspect of storing data includes at least one of the data ID, a requesting entity ID, a user device ID, and any other value associated with the storing of the data.

Having determined the source name 392, the inbound DS processing module 82 issues a list source request 390 to the DST execution units of the DST execution unit set. The list source request 390 includes the source name 392. For example, the inbound DS processing module 82 generates the list source request 390 to include the source name 392 and sends, via the network 24, the list source request 390 to each DST execution unit. Alternatively, the inbound DS processing module 82 issues, via the network 24, the list source request 390 to DST execution units associated with storage of the stored data object (e.g., those DST execution units associated with storage slots that hold one or more encoded data slices of the stored data object).

Having issued the list source requests 390, the inbound DS processing module 82 receives, via the network 24, list source responses 398 from at least some of the DST execution units. The list source response 398 includes a list of one or more slice names 400 of stored encoded data slices associated with a particular DST execution unit. The slice name 400 includes one or more of the source name 392, a pillar index 402 (e.g., a slice number of a set of slices), and a segment number 404 of a plurality of segments associated with the data object. For example, DST execution unit 1 issues a list source response 398 indicating that DST execution unit 1 is storing encoded data slices 1-2 of a data segment. As another example, DST execution unit 4 issues a list source response 398 indicating that DST execution unit 4 is not storing any encoded data slices associated with the source name 392.

Having received the list source responses, the inbound DS processing module 82 identifies potential missing slices based on the list source responses 398. The inbound DS processing module 82 may not receive a list source response 398 from an unavailable DST execution unit. A DST execution unit may be unavailable due to one or more scenarios including off-line for maintenance, off-line to update software, off-line due to an issue with at least a portion of the network 24, off-line due to a hardware failure, and off-line due to a software issue. For example, the inbound DS processing module 82 does not receive a list source response 398 from DST execution unit 3 when DST execution unit 3 is unavailable. In an example of identifying the potential missing slices, the inbound DS processing module 82 identifies encoded data slice 5 as the potentially missing slice when the list source response 398 from DST execution unit 3 is not received within a response timeframe.

A given encoded data slice may be stored in more than one storage slot associated with the DST execution unit set. As such, the inbound DS processing module 82 may receive two or more list source responses 398 indicating that a common encoded data slice is still stored in the more than one storage slots. Having identified the potentially missing slices, for each potentially missing slice, the inbound DS processing module 82 determines whether a list source response 398 for the potentially missing slice has not been received from any DST execution unit within another time frame. When the inbound DS processing module 82 determines that no list source response 398 has been received from any of the DST execution units within the other time frame for the potentially missing slice, the inbound DS processing module 82 indicates that the potential missing slice is a missing slice.

When the inbound DS processing module 82 determines that at least one list source response 398 has been received within the other time frame for the potentially missing slice, the inbound DS processing module 82 facilitates a next level missing slice determination approach. The next level missing slice determination approach includes one or more of waiting longer for a favorable list source response by extending the other time frame, declaring the potentially missing slices missing now, initiating a rebuilding process to rebuild the potentially missing slice, and deferring the rebuilding process to rebuild the potentially missing slice. The inbound DS processing module 82 selects the next level missing slice determination approach based on one or more of a predetermination, a number of potentially missing slices, a performance goal, a system performance level, and availability level of rebuilding resources, and a data retrieval reliability goal. For example, the inbound DS processing module 82 determines to initiate the rebuilding process when the availability level of the rebuilding resources is greater than an average level.

FIG. 41B is a flowchart illustrating an example of determining missing slices. The method begins at step 406 where a processing module (e.g., of a distributed storage and task (DST) client module) determines a source name for a stored data object to be scanned for missing slices. The determining includes at least one of retrieving from a list of stored data objects, interpreting an error message, receiving a request, and interpreting a test schedule. The method continues at step 408 where the processing module issues a list source request to a set of storage units associated with storage of the data object. The issuing includes generating the list source request to include the source name, identifying the set of storage units, and sending the list source request to each of the storage units of the set of storage units.

The method continues at step 410 where the processing module receives list source responses. The method continues at step 412 where the processing module identifies potential missing slices based on the list source responses. For example, the processing module interprets two or more list source responses by comparing list source responses for a common set of encoded data slices to identify a potentially missing slice from a set of slices. As another example, the processing module determines that a list source response has not been received from a storage unit within a response timeframe and indicates that a slice associated with the storage unit is the potentially missing slice.

For each potentially missing slice, the method continues at step 414 where the processing module determines whether a corresponding storage unit is available. For example, the processing module determines whether a list source response has not been received within another time frame since sending the list source request, initiates a query to the corresponding storage unit, waits for response, and interprets whether a subsequent response has been received within yet another timeframe. The method branches to step 418 when the processing module determines that the corresponding storage unit is not available. The method continues to step 416 when the processing module determines that the corresponding storage unit is available. The method continues at step 416 where the processing module indicates that the potentially missing slice is a missing slice when the corresponding storage unit is available. The indicating includes issuing a slice error message to at least one of a managing unit, one or more storage units of the set of storage units, and a user device. The slice error message includes a slice name associated with the missing slice.

The method continues at step 418 where the processing module facilitates a next level missing slice determination approach when the corresponding storage unit is not available. The facilitating includes at least one of initiating rebuilding of the potentially missing slice, initiating storage of a foster slice for the potentially missing slice in another storage unit that is available, waiting for a still further other timeframe to receive the list source response from the corresponding storage unit, and scheduling initiation of rebuilding of the potentially missing slice. The processing module selects the next level missing slice determination approach based on one or more of a number of potential missing slices for the set of slices, a performance goal, a network loading level, a rebuilding loading level, a predetermination, and interpreting an entry of a system registry.

FIG. 42A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) that includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set, to recover the data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices, to determine missing encoded data slices, and to detect errors. The errors include one or more of an encoded data slice integrity failure, a missing slice error, a memory device of a corresponding DST execution unit error, and a DST execution unit failure error.

In an example of operation of the detecting of the errors, a DST execution unit detects an error condition. As a specific example, DST execution unit 6 indicates that a slice integrity failure has occurred for slice 7 when a calculated integrity value for slice 7 compares unfavorably (e.g., not substantially the same) to a stored integrity value for slice 7. As another specific example, the DST execution unit 6 indicates that slice 7 is missing when in inventory of presently stored slices compares unfavorably to a list of previously stored slices (e.g., slice 7 is missing from the inventory). As yet another specific example, the DST execution unit 6 indicates that a memory device associated with storage of slice 7 has failed when detecting an error associated with the memory device. Having detected the error condition, the DST execution unit issues, via the network 24, an error message to the DST client module 34. For instance, the DST execution unit 6 generates the error message from unit 6 to indicate that a slice error has occurred with regards to slice 7 and sends, via the network 24, the error message from unit 6 to the inbound DS processing module 82.

The inbound DS processing module 82 determines whether to initiate further individual DST execution unit testing. The determining may be based on one or more of a type of error, a performance goal, a performance level, a network loading level, a network loading level goal, interpreting an entry of a system registry, a slice name associated with the error condition, and a predetermination. For example, the inbound DS processing module 82 determines to initiate the further individual DST unit testing for DST execution unit 6 when the type of error is the slice integrity error and the network loading level is greater than the network loading level goal (e.g., the network is busy and not compatible with further non-individual DST execution unit testing).

When initiating the further individual DST execution unit testing, the inbound DS processing module 82 generates a scan request based on the received error message. The scan request includes one or more of addressing information (e.g., source name, a slice name range, slice name), a response format type (e.g., a list of slice names of stored error-free slices, a list of slice names of slices associated with errors), and an indication of a scan function type including one or more of performing integrity testing on all slices of the associated data object, performing integrity testing on all slices associated with the memory device associated with the slice error, and performing integrity testing on all slices associated with the DST execution unit. The inbound DS processing module 82 determines the scan function type based on one or more of the error type, a number of errors, the performance goal, the performance level, the network loading level, a network loading level goal, interpreting another entry of the system registry, the slice name associated with the error condition, a predetermination, a DST execution unit resource availability level, and a DST execution unit resource availability goal level. As a specific example, the inbound DS processing module 82 determines the scan function to be the performing integrity testing on all the slices of the associated data object when the number of errors is less than an error threshold level.

Having generated the scan request, the inbound DS processing module 82 sends, via the network 24, the scan request to the DST execution unit. For example, the inbound DS processing module 82 sends, via the network 24, the scan request to the DST execution unit 6 so that the DST execution unit 6 performs integrity testing on all the slices of the associated data object. The DST execution unit processes the received scan request and issues, via the network 24, a scan response based on the processing, to the inbound DS processing module 82 for example, the DST execution unit 6 performs integrity testing on all the slices of the associated data object, generates the scan response from unit 6 to include results of the integrity testing, and sends, via the network 24, the scan response from unit 6 to the inbound DS processing module 82. The inbound DS processing module 82 receives the scan response and processes the scan response to summarize detected errors.

FIG. 42B is a flowchart illustrating an example of detecting errors. The method begins at step 420 where a storage unit detects an error condition. The method continues at step 422 where the storage unit issues an error message to a scanning module based on the error condition. The issuing includes generating the error message to include an indication of the error condition including one or more of a slice name, a memory device identifier, and an error type; and sending the error message to the scanning module.

The method continues at step 424 where the scanning module (e.g., of a distributed storage and task (DST) client module) determines whether to initiate further individual storage unit testing. When initiating the further individual storage unit testing, the method continues at step 426 where the scanning module generates a scan request based on the received error message. The generating includes selecting a scanning slice range based on a slice name of the error condition and selecting a response type (e.g., scan all slices of a corresponding data object, scan all slices of a memory associated with the error condition, scan all slices of the storage unit).

The method continues at step 428 where the scanning module sends the scan request to the storage unit. The method continues at step 430 where the storage unit issues a scan response to the scanning module in response to receiving the scan request. For example, the storage unit receives the scan request, forms one or more tests in accordance with the scan request, generates the scan response based on results of the one or more tests, and sends the scan response to the scanning module.

FIG. 43A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) that includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set, to recover the data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices, to determine missing encoded data slices, and to detect errors. The storing of the data as sets of encoded data slices includes selecting storage resources. The storage resources include storage slots mapped to DST execution units.

In an example of operation of the selecting the storage resources, the outbound DS processing module 80 selects a set of primary storage slots from N storage slots associated with the DST execution unit set. As such, the outbound DS processing module 80 selects one permutation out of a number of permutations expressed by a formula: number of permutations of the selecting of the IDA width number of storage slots=N choose IDA width. For instance, the number of permutations of selecting an IDA width number of storage slots=30 choose 15=155 million permutations, when N=30 and the IDA width=15. In an example of the selecting, the outbound DS processing module 80 selects 15 storage slots in groups of 5 storage slots from each site of three sites of implementation of the DST execution unit set when there are N=30 storage slots, the IDA width is 15, and a decode threshold number is 10.

Having selected the set of primary storage slots, the outbound DS processing module 80 identifies a permutation reference for the selected set of primary storage slots. The permutation reference identifies which permutation out of the total number of permutations of selecting the IDA width number of storage slots from the N available storage slots. The identifying includes at least one of accessing a permutation list, initiating a query, and calculating the permutation number.

Having identified the permutation reference, the outbound DS processing module 80 receives write data object requests 432 that includes the data objects for storage in the DST execution unit set. Having received the write data object request 432, the outbound DS processing module 80 determines a source name range for the data objects such that when performing a deterministic function on a source name within the source name range, the identified permutation reference is produced. The determining may include initiating an iterative cycle and iterating through multiple candidate source name ranges in applying the deterministic function to produce the identified permutation reference.

For each data object, the outbound DS processing module 80 generates a source name within the source name range. For example, the outbound DS processing module 80 generates an object number that when combined with an associated vault identifier (ID) produces the source name within the source name range. Having generated the source name, the outbound DS processing module 80 encodes the data object to produce a plurality of sets of encoded data slices. The outbound DS processing module 80 generates a plurality of sets of slice names that includes the generated source name. For example, the processing module generates each slice name to include the generated source name, a pillar index according to a pillar from 1-15, and a segment number corresponding to a data segment of a plurality of data segments of the data object.

Having generated the plurality of sets of slice names, the outbound DS processing module 80 issues, via the network 24, one or more sets of write slice requests 434 to the DST execution units in accordance with the source name. For example, the outbound DS processing module 80 performs the deterministic function on the source name to produce an associated permutation reference, identifies storage slots (e.g., the set of primary storage slots) based on the associated permutation reference, identifies the DST execution units based on a storage slot to DST execution unit association, generates the one or more sets of write slice requests 434 to include the plurality of sets of encoded data slices and the plurality of sets of slice names, and sends, via the network 24, the one or more sets of write slice requests 434 to the identified DST execution units (e.g., slices 1-2 to unit 1, slices 3-4 to unit 2, etc.).

FIG. 43B is a flowchart illustrating an example of selecting storage resources. The method begins at step 436 where a processing module (e.g., of a distributed storage and task (DST) client module) selects a set of primary storage slots from N storage slots associated with a set of storage units. The method continues at step 438 where the processing module identifies a permutation reference for the selected set of primary storage slots. For example, the processing module determines a total number of permutations based on N and an IDA width, and identifies which permutation out of the total number of permutations as the permutation reference.

The method continues at step 440 where the processing module determines a source name range such that when performing a deterministic function on a source name within the source name range, the identified permutation reference is produced. For example, the processing module performs one or more iterations of performing the deterministic function on candidate start range and end range source names to produce the identified permutation reference.

The method continues at step 442 where the processing module receives data objects for storage in the set of storage units. For each data object, the method continues at step 444 where the processing module generates a source name within the source name range. For example, the processing module obtains a vault identifier (ID) associated with the data object (e.g., a system registry lookup based on a requesting entity ID), selects a random object number within a range of object numbers corresponding to the range of source names given the obtained vault ID, and combines the obtained vault ID and the selected random object number to produce the source name.

The method continues at step 446 where the processing module encodes the data object to produce a plurality of sets of encoded data slices. The method continues at step 448 where the processing module generates a plurality of sets of slice names that includes the generated source name. The method continues at step 450 where the processing module issues one or more sets of write slice requests to the storage units of the set of storage units in accordance with the source name. For example, the processing module performs a deterministic function on the source name to produce the permutation reference, identifies the storage slots based on the permutation reference, identifies storage units based on the identified storage slots, generates the write slice requests, includes the plurality of sets of encoded data slices and the plurality of sets of slice names, and sends the one or more sets of write slice requests to the identified storage units.

FIG. 44A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) that includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set and to retrieve the stored data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices.

In an example of operation of the retrieving of the data, the inbound DS processing module 82 receives a retrieve data request 452 to retrieve a data object from the DST execution unit set. The retrieve data request 452 includes one or more of a data identifier (ID) of the data object, a source name of the data object, and storage slot identifiers associated with storage of the sets of encoded data slices.

Having received the retrieve data request 452, the inbound DS processing module 82 identifies a set of primary storage slots of N storage slots, where the set of primary storage slots are utilized to store the sets of encoded data slices associated with storage of the data object. Remaining storage slots of the N storage slots may be utilized to store one or more of replicated slices and foster slices that are associated with the primary storage slots. Alternatively, or in addition to, other primary storage slots may be utilized to store encoded data slices normally associated with primary storage slots. For example, DST execution unit 14 stores replicated encoded data slice 15 (e.g., rather than storing encoded data slice 15 at DST execution unit 13) and DST execution unit 10 stores foster encoded data slice 6 when DST execution unit 5 fails to store encoded data slice 6. The identifying includes at least one of initiating a query, receiving a response, and accessing one or more of a DSN directory, a dispersed hierarchical index, and a system registry utilizing the data ID and/or a requesting entity identifier to identify the primary storage slots associated with the data object.

Having identified the set of primary storage slots, the inbound DS processing module 82 selects a read threshold number of storage slots of the set of primary storage slots. The selecting may be based on one or more of a predetermination, network topology information, a storage unit loading level, a retrieval performance goal, a storage unit performance level, a storage unit performance goal, initiating a query, and receiving a response. The read threshold is greater than or equal to equivalent to a decode threshold and less than or equal to an IDA width.

Having selected the read threshold number of storage slots, the inbound DS processing module 82 determines whether to select additional storage slots. The determining may be based on one or more of a network loading level, a performance requirement, a network topology, the storage unit loading level, the retrieval performance goal, a predetermination, a foster slice indicator, and the storage unit performance level. For example, the inbound DS processing module 82 determines to select the additional storage slots when the network loading level is less than a network loading level threshold and the foster slice indicator indicates that one or more foster slices are stored in the DST execution unit set.

When selecting additional storage slots, the inbound DS processing module 82 identifies one or more storage slots as the additional storage slots. The inbound DS processing module 82 identifies the one or more storage slots from any of the N storage slots based on one or more of the network loading level, foster unit storage patterns, replicated slice storage patterns, and the performance requirement. For example, the inbound DS processing module 82 identifies storage slots associated with DST execution unit 10 when the foster storage patterns indicate that DST execution unit 10 has been utilized to store foster encoded data slices. As another example, the inbound DS processing module 82 identifies storage slots associated with DST execution unit 14 when the replicated slice storage patterns indicate that DST execution unit 14 has been utilized to store replicated encoded data slices.

Having selected the additional storage slots, the inbound DS processing module 82 issues, via the network 24, read slice requests 454 to DST execution units associated with the read threshold number of storage slots and the additional storage slots. For example, the inbound DS processing module 82 generates and sends, via the network 24, read slice requests 454 to DST execution units 1-3, 5, 6, 8, 10, and 12-13 with regards to the read threshold number of storage slots and read slice requests to DST execution units 10 and 14 with regards to the additional storage slots.

Having issued the read slice requests 454, the inbound DS processing module 82 receives, via the network 24, read slice responses 456. The read slice responses 456 include one or more of an encoded data slice, a slice name, a revision number, and a slice type indicator (e.g., a slice, a foster slice, a replicate slice). For example, DST execution unit 1 issues a read slice response that includes encoded data slices 1-2, DST execution unit 2 issues a read slice response that includes encoded data slices 3-4, etc. As another example, DST execution unit 10 issues a read slice response that includes encoded data slices 11-12 and foster encoded data slice 6. As yet another example, DST execution unit 14 issues a read slice response that includes replicated encoded data slice 15.

Having received the read slice responses 456, the inbound DS processing module 82 recovers the data based on the received read slice responses. For example, the inbound DS processing module 82 decodes a decode threshold number of encoded data slices for each set of encoded data slices to reproduce the data, where the decode threshold number of encoded data slices may include encoded data slices, foster encoded data slices, and replicated encoded data slices. Alternatively, or in addition to, the inbound DS processing module 82 may issue further read slice requests to still further storage slots and/or DST execution units when not receiving the decode threshold number of encoded data slices for the set of encoded data slices.

FIG. 44B is a flowchart illustrating an example of retrieving data. The method begins at step 458 where a processing module (e.g., of a distributed storage and task (DST) client module) receives a request to retrieve data from storage units of a dispersed storage network (DSN). The method continues at step 460 where the processing module identifies a set of primary storage slots of N storage slots associated with storage of the data in the DSN. The method continues at step 462 where the processing module selects a read threshold number of storage slots of the identified set of primary storage slots. The method continues at step 464 where the processing module determines whether to select additional storage slots for recovery of the data.

When utilizing the additional storage slots, the method continues at step 466 where the processing module identifies one or more storage slots as the additional storage slots. The identifying includes determining a likelihood level of a particular storage slot holding a desired encoded data slice and selecting the particular storage slot as an additional storage slot when the likelihood level is greater than a likelihood threshold level.

The method continues at step 468 where the processing module issues read slice requests to the read threshold number of storage slots and the additional storage slots. The issuing includes generating the one or more sets of read slice requests, identifying storage units associated with the read threshold number of storage slots and the additional storage slots, and sending the read slice requests to the identified storage units.

The method continues at step 470 where the processing module recovers the data from received read slice responses. For example, the processing module receives read slice responses, decodes a decode threshold number of encoded data slices of the received read slice responses for each set of encoded data slices to reproduce a data segment, and aggregates recovered data segments to reproduce the data. Alternatively, or in addition to, the processing module issues further read slice requests to still further storage slots at additional storage units when not receiving a decode threshold number of slices for any given set of encoded data slices.

FIGS. 45A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating another example of storing data. The DSN includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set and to retrieve the store data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices.

FIG. 45A illustrates initial steps of an example of operation of the storing of the data where each DST execution unit determines whether to perform a performance tests based on one or more of receiving a performance information request, interpreting a time schedule, detecting an error, and detecting a potential performance issue. For example, the inbound DS processing module 80 issues, via the network 24, a performance information request to DST execution unit 1. Having received the performance information request, the DST execution unit 1 indicates to perform the performance test.

When indicating to perform the performance tests, the DST execution unit performs a performance test with at least some of the DST execution units of a group of DST execution units associated with a set of primary storage slots. The performing the performance test produces performance information. For example, DST execution unit 1 performs the tests and summarizes the tests to produce the performance information. The performing of the tests includes sending and receiving performance test messages 476 with the at least some of the DST execution units. The performance test messages 476 include at least one of a performance test request and a performance test response. The performance test request includes at least one of identity information (e.g., identity of DST execution units of the performance tests) and test data (e.g., data for sending between the DST execution units to determine performance information that includes latency information and bandwidth capacity information). The performance test response includes one or more of the test data, the identity information, performance information, the latency information, the bandwidth capacity information, cost information, and reliability information.

As a specific example of performing a performance test, the DST execution unit 1 issues a performance test request to each of the other DST execution units, receives a performance test response from the other DST execution units, calculates the latency information in the bandwidth capacity information to produce the performance information, and issues another performance test message to the other DST execution units that includes the performance information (e.g., a list of latency and capacity bandwidth values between DST execution unit 1 and each of the other DST execution units).

Having performed the performance tests, each DST execution unit determines whether to send the performance information to the outbound DS processing module 80 based on one or more of receiving a performance information request from the outbound DS processing module 80, interpreting a schedule, detecting an error message, detecting a failure, and detecting a performance issue. The DST execution unit sends the performance information to the outbound DS processing module 80 when determining to send the performance information to the outbound DS processing module 80. For example, the DST execution unit 1 sends, via the network 24, a performance information response 474 to the outbound DS processing module 80 when receiving a performance information request 472 from the outbound DS processing module 80. The example of a method of operation is discussed in greater detail with reference to FIG. 45B.

FIG. 45B illustrates further steps of the example of operation of the storing of the data where the outbound DS processing module 80 receives a write data object request 478 from a requesting entity. Having received the write data object request 478, the outbound DS processing module 80 identifies a set of primary storage slots of N storage slots associated with storage of the data. Having identified the set of primary storage slots, the outbound DS processing module 80 encodes a data segment of the data to produce a set of encoded data slices. Having produced the set of encoded data slices, the outbound DS processing module 80 issues, via the network 24, a set of write slice requests 480 to DST execution units associated with the identified set of primary storage slots, where the write slice requests includes the set of encoded data slices. For example, the outbound DS processing module 80 issues a write slice request for encoded data slices 1-2 to DST execution unit 1 etc.

Having issued the set of write slice requests 480, the outbound DS processing module 80 receives write slice responses 482 from at least some of the DST execution units. The outbound DS processing module 80 identifies a storage failure when not receiving a favorable write slice response within a response timeframe or by receiving an unfavorable write slice response. For example, the outbound DS processing module 80 identifies a storage failure associated with storage of encoded data slice 6 when not receiving the write slice response for encoded data slice 6 from DST execution unit 5 within a response timeframe.

When identifying the storage failure, the outbound DS processing module 80 selects a secondary storage slot of the N storage slots based on the received performance information. For example, the outbound DS processing module 80 selects a secondary storage slot to facilitate subsequent migration of a foster encoded data slice from a DST execution unit associated with storage of the foster encoded data slice to a DST execution unit normally associated with storage of the encoded data slice when the DST execution unit becomes available. For instance, the outbound DS processing module 80 selects DST execution unit 7 for storage of a foster encoded data slice 6 when the performance information indicates that co-located DST execution units 5 and 7 exhibit favorable unit to unit communication capability (e.g., transfer latency less than an average latency level and transfer bandwidth greater than an average bandwidth level).

Having selected the secondary storage slot, the outbound DS processing module 80 issues another write slice request 480 to a DST execution unit associated with the selected secondary storage slot, where the request includes a foster encoded data slice for an encoded data slice associated with the identified storage failure. As a specific example, the outbound DS processing module 80 generates and sends, via the network 24, a write slice request 480 for foster encoded data slice 6 to DST execution unit 7. Alternatively, or in addition to, DST execution unit 7 detects that DST execution unit 5 is available and sends the foster encoded data slice 6 to the DST execution unit 5.

FIG. 45C is a flowchart illustrating another example of storing data. The method begins or continues at step 484 where a storage unit determines whether to perform a performance test with another storage unit of a set of storage units that includes the storage unit. When determining to perform the test, the method continues at step 486 where the storage unit executes the performance test with the other storage unit to produce performance information. The method continues at step 488 where the storage unit sends the performance information to at least one of a storage module and the other storage unit.

The method continues at step 490 where the storage module (e.g., of a distributed storage and task (DST) client module) receives data for storage. The method continues at step 492 where the storage module identifies primary storage slots of N storage slots associated with storage of the data. The method continues at step 494 where the storage module encodes a data segment of the data to produce a set of encoded data slices. Alternatively, or in addition to, the storage module encodes remaining data segments of a plurality of data segments of the data to produce a plurality of encoded data slices.

The method continues at step 496 where the storage module issues a set of write slice requests to storage units associated with the identified primary storage slots, where the write slice requests includes the set of encoded data slices. The issuing includes identifying the storage units based on a lookup based on the identified primary storage slots, generating the write slice requests to include the set of encoded data slices, and sending the set of write slice requests to the storage units associated with the identified primary storage slots.

The method continues at step 498 where the storage module receives write slice responses from at least some of the storage units. When identifying a storage failure, the method continues at step 500 where the storage module selects a secondary storage slot of the N storage slots based on received performance information. For example, the storage module selects a secondary storage slot that is associated with superior latency performance with a storage slot associated with the storage failure.

The method continues at step 502 where the processing module issues another write slice request to a storage unit associated with the selected secondary storage slot. The other write slice request includes a foster encoded data slice associated with the identified storage failure. The issuing includes generating the foster slice based on encoded data slice associated with the storage failure, generating the other write slice request to include the foster encoded data slice, identifying a storage unit associated with the selected secondary storage slot, and sending the other write slice requests to the storage unit associated with the selected secondary storage slot.

FIG. 46A is a schematic block diagram of another embodiment of a dispersed storage network (DSN) that includes the distributed storage and task (DST) client module 34 of FIG. 41A, the network 24 of FIG. 1, and a DST execution unit set 510. The DST client module 34 includes the outbound dispersed storage (DS) processing module 80 and the inbound DS processing module 82 of FIG. 3. The DST execution unit set 510 includes the set of DST execution units of FIG. 41A and one or more foster DST execution units. Each DST execution unit provides at least one storage slot of N storage slots and each foster DST execution unit provides additional storage capacity. The one or more foster DST execution units may be implemented to provide superior access performance between each foster DST execution unit and a subset of the set of DST execution units. For example, the set of DST execution units includes DST execution units 1-14 that provide storage resources for 30 storage slots by mapping a varying number of storage slots that are associated with each DST execution unit and with one foster DST execution unit that is implemented at each of three sites. As such, each foster DST execution unit is associated with a subset of DST execution units implemented at a common site with the foster DST execution unit.

The DSN functions to store data as sets of encoded data slices to the DST execution unit set and to retrieve the stored data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices. In an example of operation of the storing of the data, the outbound DS processing module 80 receives a write data object request 512 from a requesting entity. Having received the write data object request 512, the outbound DS processing module 80 identifies a set of primary storage slots of N storage slots associated with storage of the data.

Having identified the set of primary storage slots, the outbound DS processing module 80 encodes a data segment of the data to produce a set of encoded data slices. Having produced the set of encoded data slices, the outbound DS processing module 80 issues, via the network 24, a set of write slice requests 514 to DST execution units associated with the identified set of primary storage slots, where the write slice requests 514 include the set of encoded data slices. For example, the outbound DS processing module 80 issues a write slice request for encoded data slices 1-2 to DST execution unit 1 etc.

Having issued the set of write slice requests 514, the outbound DS processing module 80 receives write slice responses 516 from at least some of the DST execution units. The outbound DS processing module 80 identifies a storage failure when not receiving a favorable write slice response within a response timeframe or by receiving an unfavorable write slice response. For example, the outbound DS processing module 80 identifies a storage failure associated with storage of encoded data slice 6 when not receiving the write slice response for encoded data slice 6 from DST execution unit 5 within a response timeframe.

When identifying the storage failure, the outbound DS processing module 80 selects a foster DST execution unit of the one or more foster DST execution units. The selecting may be based on one or more of candidate foster DST execution unit availability and an association between a DST execution unit associated with the storage failure and a candidate foster DST execution unit. The association may include one or more of implementation at a common site, implementation in a common equipment rack at a common site, and a messaging performance level between the DST execution unit and the candidate foster DST execution unit (e.g., latency performance, bandwidth capacity). For example, the outbound DS processing module 80 selects foster DST execution unit for site 2 when DST execution unit 5 is implemented at site 2 and availability of foster DST execution unit for site 2 indicates a favorable availability. As another example, the outbound DS processing module 80 selects foster DST execution unit for site 3 when a messaging performance level between the DST execution unit 5 and the foster DST execution unit for site 3 is most favorable compared to other messaging performance levels between the DST execution unit 5 and other foster DST execution units.

Having selected the foster DST execution unit, the outbound DS processing module 80 issues another write slice request 514 to the selected foster DST execution unit, where the write slice request includes a foster encoded data slice for an encoded data slice associated with the storage failure. For example, the outbound DS processing module 80 produces a foster encoded data slice 6 from the encoded data slice 6, generates the write slice request to include the foster encoded data slice and a slice name associated with encoded data slice 6, and sends the write slice request to the foster DST execution unit for site 2 when the foster DST execution unit for site 2 is the selected foster DST execution unit.

Alternatively, or in addition to, at least one of the outbound DS processing module 80 and the foster DST execution unit for site 2 detects subsequent availability of the DST execution unit associated with the storage failure. As a specific example, the foster DST execution unit for site 2 detects availability of DST execution unit 6. Having detected the availability of the DST execution unit associated with the storage failure, at least one of the outbound DS processing module 80 and the foster DST execution unit for site 2 facilitates migration of the foster encoded data slice to the DST execution unit. As a specific example, the foster DST execution unit for site 2 issues a write slice request to the DST execution unit 5, where the write slice request includes the foster encoded data slice 6.

FIG. 46B is a flowchart illustrating another example of storing data, which includes similar steps to FIG. 45C. The method begins or continues with the steps 490-498 of FIG. 45C where a storage module (e.g., of a distributed storage and task (DST) client module) receives data for storage, identifies primary storage slots of N storage slots associated with storage of the data, encodes a data segment of the data to produce a set of encoded data slices, issues a set of write slice requests to storage units associated with the identified primary storage slots, and receives write slice responses from at least some of the storage units.

When identifying a storage failure based on the received write slice responses, the method continues at step 518 where the storage module selects a foster storage unit of one or more foster storage units. For example, the storage module identifies the foster storage unit based on estimated subsequent migration performance between the foster storage unit and a storage unit associated with the identified storage failure.

The method continues at step 520 where the storage module issues another write slice request to the selected foster storage unit. The other write slice request includes a foster encoded data slice associated with the identified storage failure. The issuing includes generating the foster encoded data slice based on the encoded data slice associated with the storage failure, generating the other write slice request to include the foster encoded data slice and a slice name of the encoded data slice, and sending the other write slice requests to the selected foster storage unit.

When detecting availability of the storage unit associated with storage failure, the method continues at step 522 where the selected foster storage unit facilitates migration of the foster encoded data slice to the storage unit. As a specific example, when the selected foster storage unit obtains an indication that the storage unit is available, the selected foster storage unit generates a write slice request to include the foster encoded data slice, and the selected foster storage unit sends the write slice request to the storage unit. As another specific example, the selected foster storage unit issues a message to the storage unit, where the message includes a request to perform a read operation to retrieve the foster encoded data slice from the selected foster storage unit.

FIGS. 47A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating an example of optimizing storage of data. The DSN includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set and to retrieve the stored data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices.

FIG. 47A illustrates initial steps of an example of operation of the storing of the data where a DST execution unit of the DST execution unit set receives a plurality of foster encoded data slices for temporary storage. As a specific example, the inbound DS processing module 82 detects storage failures for encoded data slice 6 at DST execution unit 5, for encoded data slice 7 at DST execution unit 6, and for encoded data slice 11 at DST execution unit 10, rebuilds the encoded data slices 6, 7, and 11 to produce foster encoded data slices 6, 7, and 11, and sends the foster encoded data slices 6, 7, and 11 to DST execution unit 7 for storage. Having received the plurality of foster encoded data slices, the DST execution unit stores the plurality of foster encoded data slices in a local memory associated with the DST execution unit. As a specific example, the DST execution unit 7 stores the foster encoded data slices 6, 7, and 11 in local memory of the DST execution unit 7.

Having stored the plurality of foster encoded data slices, the DST execution unit determines whether a number of stored foster encoded data slices compares unfavorably to a foster slice threshold level. As a specific example, the DST execution unit determines a number of stored foster encoded data slices (e.g., accessing a list, counting), obtains the foster slice threshold level (e.g., recovers a foster slice threshold level number from a portion of system registry information), compares the number of stored foster encoded data slices to the obtained foster slice threshold level, and indicates that the comparison is unfavorable when the number of stored foster encoded data slices is greater than the obtained foster slice threshold level.

When the comparison is unfavorable, the DST execution unit selects one or more of the stored foster encoded data slices for migration to one or more other foster storage locations. The selecting may be based on one or more of a predetermined selection number, a number of available other foster storage locations, a number of homes storage locations associated with the storage of the encoded data slices associated with the storage failures (e.g., DST execution units 5, 6, and 10), and a foster slice low threshold level. As a specific example, the DST execution unit selects foster encoded data slices 6, 7, and 11 for migration when a subsequent resulting lowering of the number of stored foster encoded data slices is less than the foster slice low threshold level. The method of operation of the example of the storing of the data is discussed in greater detail with reference to FIG. 47B.

FIG. 47B illustrates further steps of the example of the operation of the storing of the data where, for each selected one or more stored foster encoded data slices for migration, the DST execution unit identifies a recipient DST execution unit associated with the one or more other foster storage locations. The identifying may be based on one or more of network topology, a system performance level, a system performance level goal, an estimated restoral migration performance level, a home DST execution unit of the selected foster encoded data slice, DST execution units associated with primary storage slots, available capacity of a DST execution unit, and a selection approach.

The selection approach may include avoiding selecting of recipient DST execution units associated with the primary storage slots, favoring selection of recipient DST execution units at a common site with the DST execution unit, and favoring of selecting of a recipient DST execution unit associated with favorable available capacity of the recipient DST execution unit. As a specific example, the DST execution unit selects DST execution unit 8 as a recipient DST execution unit to store foster encoded data slice 6 when DST execution unit 8 is co-located with DST execution unit 7, selects DST execution unit 4 for storage of foster encoded data slice 7 when DST execution unit 4 is not associated with primary storage slots, and selects DST execution unit 11 for storage of foster encoded data slice 11 when DST execution unit 11 is associated with a favorable estimated restoral migration performance level.

Having identified the recipient DST execution unit for the selected stored foster encoded data slice, the DST execution unit sends the selected stored foster encoded data slice to the identified recipient DST execution unit for storage. As a specific example, the DST execution unit 7 issues a write slice request 524 to DST execution unit 8, where the write slice request 524 includes the foster encoded data slice 6; issues another write slice request 524 to DST execution unit 4, where the other write slice request 524 includes the foster encoded data slice 7; and issues yet another write slice request 524 to DST execution unit 11, where the yet another write slice request 524 includes the foster encoded data slice 11.

FIG. 47C is a flowchart illustrating an example of optimizing storage of data. The method begins or continues at step 526 where a processing module (e.g., of a storage unit) stores a plurality of foster encoded data slices in a local memory of the storage unit. The method continues at step 528 where the processing module determines whether a number of stored foster encoded data slices compares unfavorably to a foster slice threshold. As a specific example, the processing module indicates that the number of stored foster encoded data slices compares unfavorably to the foster slice threshold when the number of stored foster encoded data slices is greater than the foster slice threshold.

When the number of stored foster encoded data slices compares unfavorably with the foster slice threshold level, the method continues at step 530 where the processing module selects one or more stored foster encoded data slices for migration to one or more other foster storage locations. As a specific example, the processing module determines a number of foster encoded data slices for selection and selects each foster encoded data slice most compatible with migration to another foster storage location. For instance, the processing module selects a first foster encoded data slice that is estimated to have similar storage performance characteristics at another foster storage location as compared to storage within the storage unit.

For each selected stored foster encoded data slice, the method continues at step 532 where the processing module identifies a recipient storage unit of a set of storage units that includes the storage unit. As a specific example, the processing module selects a recipient storage unit associated with estimated favorable subsequent migration performance when a corresponding home storage unit becomes available. The method continues at step 534 where the processing module sends the selected stored foster encoded data slice to the identified recipient storage unit for storage therein. Alternatively, or in addition to, the processing module deletes the stored foster encoded data slice from a local memory of the storage unit when receiving confirmation that the selected stored foster encoded data slice has been successfully stored in the identified recipient storage unit.

FIGS. 48A-B are schematic block diagrams of another embodiment of a dispersed storage network (DSN), illustrating another example of storing data. The DSN includes the DST execution unit set 350 of FIG. 41A, the network 24 of FIG. 1, and the DST client module 34 of FIG. 41A. The DST execution unit set 350 includes a plurality of DST execution units, where a subset of the plurality of DST execution units includes one or more foster DST execution units. Each foster DST execution unit includes a high-performance version (e.g., higher than average storage capacity, higher than average processing capability, lower than average transaction latencies, higher than average sustained bandwidth, etc.) of the DST execution unit 36 of FIG. 1. For example, DST execution units 3, 7, and 12 serve as foster DST execution units. The DST client module 34 includes the outbound DS processing module 80 and the inbound DS processing module 82 of FIG. 3. The DSN functions to store data as sets of encoded data slices to the DST execution unit set and to retrieve the data from the DST execution unit set by retrieving at least some of the encoded data slices of each set of encoded data slices.

FIG. 48A illustrates initial steps of an example of operation of the storing of the data where the outbound DS processing module 80 receives a write data object request 536 to store a data object in the DST execution unit set. Having received the write data object request, the outbound DS processing module 80 identifies primary storage slots of N storage slots associated with storage of the data. Such primary storage slots may be assigned to any combination of the DST execution units and the foster DST execution units. For example, DST execution unit 3 is a foster DST execution unit and is associated with a primary storage slot, DST execution unit 7 is a foster DST execution unit but is not associated with a primary storage slot, and DST execution unit 12 is a foster DST execution unit and is associated with primary storage slots.

Having identified the primary storage slots, the outbound DS processing module 80 encodes a data segment of the data object to produce a set of encoded data slices. Having produced the set of encoded data slices, the outbound DS processing module 80 determines whether to send the set of encoded data slices to foster DST execution units. The determining may be based on one or more of performance information of the DSN, a loading level of the DSN, a performance goal, an estimated required performance level, and a loading level goal. For example, the outbound DS processing module 80 determines to send the set of encoded data slices to only foster DST execution units when the estimated required performance level for storing of the data object is greater than average.

When sending the set of encoded data slices to the foster DST execution units, the outbound DS processing module 80 selects one or more foster DST execution units for potentially temporary storage of the set of encoded data slices. The selecting may be based on one or more of anticipated subsequent migration performance between a selected foster DST execution unit and a home DST execution unit (e.g., where a given encoded data slice shall be stored in a non-temporary basis).

The selected foster DST execution unit and the home DST execution unit may be a common DST execution unit. As a specific example, the outbound DS processing module 80 selects foster DST execution unit 3 for storage of encoded data slice 5 when foster DST execution unit 3 is also a home DST execution unit for encoded data slice 5. As another specific example, the outbound DS processing module 80 selects foster DST execution unit 7 for storage of foster encoded data slices 6-10 when subsequent migration of foster encoded data slices 6-10 shall be to DST execution units 5, 6, and 8 co-located with foster DST execution unit 7 providing favorable subsequent migration performance. As yet another example, the outbound DS processing module 80 selects foster DST execution unit 12 for temporary storage of foster encoded data slices 11, 12, and 15 and non-temporary storage of encoded data slices 13-14 when foster encoded data slice 12 is associated with primary storage slots mapped to encoded data slices 13-14 and DST execution unit 12 is implemented at a common site with home DST execution units associated with foster encoded data slices 11, 12, and 15 (e.g., DST execution units 10 and 13).

Having selected the one or more foster DST execution units, the outbound DS processing module 80 identifies a slice mapping, where the slice mapping maps each of the encoded data slices of the set of encoded data slices to a selected foster DST execution unit. Having identified the slice mapping, the outbound DS processing module 80 issues, via the network 24, a set of write slice requests 538 to the selected foster DST execution units in accordance with the slice mapping, where the set of write slice requests includes encoded data slices and foster encoded data slices of the set of encoded data slices. As a specific example, the outbound DS processing module 80 issues, via the network 24, a write slice request to foster DST execution unit 3, where the write slice request includes encoded data slice 5 and foster encoded data slices 1-4; issues, via the network 24, another write slice request to foster DST execution unit 7, where the other write slice request includes foster encoded data slices 6-10; and issues, via the network 24, yet another write slice request to foster DST execution unit 12, where the yet another write slice request includes encoded data slices 13-14 and foster encoded data slices 11-12, and 15. The example of the method of the storing the data is discussed in greater detail with reference to FIG. 48B.

FIG. 48B illustrates further steps of the example of the operation of the storing of the data where each foster DST execution unit stores received encoded data slices and foster encoded data slices in a local memory of the foster DST execution unit. As a specific example, DST execution unit 7 receives, via the network 24, foster encoded data slices 6-10 and stores the foster encoded data slices 6-10 in a local memory of DST execution unit 7. Having stored the received encoded data slices and foster encoded data slices, the foster DST execution unit determines whether to initiate migration of the foster encoded data slices. The determining may be based on one or more of a system loading level, availability of a home DST execution unit, and expected load for the foster DST execution unit. For example, the foster DST execution unit 7 determines to initiate the migration when the expected load for the foster DST execution unit 7 is less than a loading threshold level.

When determining to initiate the migration, for each stored foster encoded data slice, the foster DST execution unit identifies a corresponding home DST execution unit. The identifying may be based on one or more of a lookup, initiating a query, receiving a response, and interpreting a slice mapping. As a specific example, the foster DST execution unit 7 identifies DST execution unit 5 as a home DST execution unit for foster encoded data slice 6, identifies DST execution unit 6 as a home DST execution unit for foster encoded data slices 6-9, and identifies DST execution unit 8 as a home DST execution unit for foster encoded data slice 10 based on the slice mapping.

Having identified the corresponding home DST execution unit, the foster DST execution unit sends the stored foster encoded data slice to the corresponding home DST execution unit for storage. As a specific example, the foster DST execution unit 7 issues a write slice request to DST execution unit 5, where the write slice request includes foster encoded data slice 6; issues another write slice request to DST execution unit 6, where the other write slice request includes foster encoded data slices 7-9; and issues yet another write slice request to DST execution unit 8, where the yet another write slice request includes foster encoded data slice 10.

Having sent the foster encoded data slice to the corresponding home DST execution unit, the foster DST execution unit, deletes the stored foster encoded data slice from the local memory of the foster DST execution unit upon confirmation of storage by the home DST execution unit. As a specific example, the foster DST execution unit 7 deletes a foster encoded data slice 6 from a local memory of the foster DST execution unit 7 when receiving a confirmation message from DST execution unit 5 that foster encoded data slice 6 has been successfully stored as encoded data slice 6 within DST execution unit 5.

FIG. 48C is a flowchart illustrating another example of storing data, which include similar steps to FIG. 45C. The method begins or continues with the steps 490-494 of FIG. 45C where a storage module (e.g., of a distributed storage and task (DST) client module) receives data for storage, identifies primary storage slots of N storage slots associated with storage of the data, and encodes a data segment of the data to produce a set of encoded data slices. The method continues at step 540 where the storage module determines whether to send the set of encoded data slices to foster storage units. When sending to the foster storage units, the method continues at step 542 where the storage module selects one or more foster storage units. The method continues at step 544 where the storage module determines a slice mapping, where the slice mapping maps each of the encoded data slices to a selected foster storage unit.

The method continues at step 546 where the storage module issues a set of write slice requests to the selected foster storage units in accordance with the slice mapping. For each selected foster storage unit, the method continues at step 548 where the selected foster storage unit stores one or more of a received encoded data slice and a received foster encoded data slice in a local memory of the selected foster storage unit. The method continues at step 550 where the selected foster storage unit determines whether to initiate migration of the stored foster encoded data slices. The determining may be based on one or more of a system loading level, home storage unit availability, a predetermination, interpreting a schedule, and detecting that a data ingestion rate is less than a congestion rate threshold level.

When migrating, the method continues at step 552 where, for each stored foster encoded data slice, the selected foster storage unit identifies a corresponding home storage unit. The method continues at step 554 where the selected foster storage unit sends the stored foster encoded data slice to the identified the corresponding home storage unit for storage therein. The method continues at step 556 where the selected foster storage unit deletes the stored foster encoded data slice from the local memory of the selected foster storage unit upon detecting confirmation of storage by the home storage unit.

As may be used herein, the terms “substantially” and “approximately” provides an industry-accepted tolerance for its corresponding term and/or relativity between items. Such an industry-accepted tolerance ranges from less than one percent to fifty percent and corresponds to, but is not limited to, component values, integrated circuit process variations, temperature variations, rise and fall times, and/or thermal noise. Such relativity between items ranges from a difference of a few percent to magnitude differences. As may also be used herein, the term(s) “operably coupled to”, “coupled to”, and/or “coupling” includes direct coupling between items and/or indirect coupling between items via an intervening item (e.g., an item includes, but is not limited to, a component, an element, a circuit, and/or a module) where, for indirect coupling, the intervening item does not modify the information of a signal but may adjust its current level, voltage level, and/or power level. As may further be used herein, inferred coupling (i.e., where one element is coupled to another element by inference) includes direct and indirect coupling between two items in the same manner as “coupled to”. As may even further be used herein, the term “operable to” or “operably coupled to” indicates that an item includes one or more of power connections, input(s), output(s), etc., to perform, when activated, one or more its corresponding functions and may further include inferred coupling to one or more other items. As may still further be used herein, the term “associated with”, includes direct and/or indirect coupling of separate items and/or one item being embedded within another item. As may be used herein, the term “compares favorably”, indicates that a comparison between two or more items, signals, etc., provides a desired relationship. For example, when the desired relationship is that signal 1 has a greater magnitude than signal 2, a favorable comparison may be achieved when the magnitude of signal 1 is greater than that of signal 2 or when the magnitude of signal 2 is less than that of signal 1.

As may also be used herein, the terms “processing module”, “processing circuit”, and/or “processing unit” may be a single processing device or a plurality of processing devices. Such a processing device may be a microprocessor, micro-controller, digital signal processor, microcomputer, central processing unit, field programmable gate array, programmable logic device, state machine, logic circuitry, analog circuitry, digital circuitry, and/or any device that manipulates signals (analog and/or digital) based on hard coding of the circuitry and/or operational instructions. The processing module, module, processing circuit, and/or processing unit may be, or further include, memory and/or an integrated memory element, which may be a single memory device, a plurality of memory devices, and/or embedded circuitry of another processing module, module, processing circuit, and/or processing unit. Such a memory device may be a read-only memory, random access memory, volatile memory, non-volatile memory, static memory, dynamic memory, flash memory, cache memory, and/or any device that stores digital information. Note that if the processing module, module, processing circuit, and/or processing unit includes more than one processing device, the processing devices may be centrally located (e.g., directly coupled together via a wired and/or wireless bus structure) or may be distributedly located (e.g., cloud computing via indirect coupling via a local area network and/or a wide area network). Further note that if the processing module, module, processing circuit, and/or processing unit implements one or more of its functions via a state machine, analog circuitry, digital circuitry, and/or logic circuitry, the memory and/or memory element storing the corresponding operational instructions may be embedded within, or external to, the circuitry comprising the state machine, analog circuitry, digital circuitry, and/or logic circuitry. Still further note that, the memory element may store, and the processing module, module, processing circuit, and/or processing unit executes, hard coded and/or operational instructions corresponding to at least some of the steps and/or functions illustrated in one or more of the Figures. Such a memory device or memory element can be included in an article of manufacture.

The present invention has been described above with the aid of method steps illustrating the performance of specified functions and relationships thereof. The boundaries and sequence of these functional building blocks and method steps have been arbitrarily defined herein for convenience of description. Alternate boundaries and sequences can be defined so long as the specified functions and relationships are appropriately performed. Any such alternate boundaries or sequences are thus within the scope and spirit of the claimed invention. Further, the boundaries of these functional building blocks have been arbitrarily defined for convenience of description. Alternate boundaries could be defined as long as the certain significant functions are appropriately performed. Similarly, flow diagram blocks may also have been arbitrarily defined herein to illustrate certain significant functionality. To the extent used, the flow diagram block boundaries and sequence could have been defined otherwise and still perform the certain significant functionality. Such alternate definitions of both functional building blocks and flow diagram blocks and sequences are thus within the scope and spirit of the claimed invention. One of average skill in the art will also recognize that the functional building blocks, and other illustrative blocks, modules and components herein, can be implemented as illustrated or by discrete components, application specific integrated circuits, processors executing appropriate software and the like or any combination thereof.

The present invention may have also been described, at least in part, in terms of one or more embodiments. An embodiment of the present invention is used herein to illustrate the present invention, an aspect thereof, a feature thereof, a concept thereof, and/or an example thereof. A physical embodiment of an apparatus, an article of manufacture, a machine, and/or of a process that embodies the present invention may include one or more of the aspects, features, concepts, examples, etc., described with reference to one or more of the embodiments discussed herein. Further, from figure to figure, the embodiments may incorporate the same or similarly named functions, steps, modules, etc., that may use the same or different reference numbers and, as such, the functions, steps, modules, etc., may be the same or similar functions, steps, modules, etc., or different ones.

While the transistors in the above described figure(s) is/are shown as field effect transistors (FETs), as one of ordinary skill in the art will appreciate, the transistors may be implemented using any type of transistor structure including, but not limited to, bipolar, metal oxide semiconductor field effect transistors (MOSFET), N-well transistors, P-well transistors, enhancement mode, depletion mode, and zero voltage threshold (VT) transistors.

Unless specifically stated to the contra, signals to, from, and/or between elements in a figure of any of the figures presented herein may be analog or digital, continuous time or discrete time, and single-ended or differential. For instance, if a signal path is shown as a single-ended path, it also represents a differential signal path. Similarly, if a signal path is shown as a differential path, it also represents a single-ended signal path. While one or more particular architectures are described herein, other architectures can likewise be implemented that use one or more data buses not expressly shown, direct connectivity between elements, and/or indirect coupling between other elements as recognized by one of average skill in the art.

The term “module” is used in the description of the various embodiments of the present invention. A module includes a processing module, a functional block, hardware, and/or software stored on memory for performing one or more functions as may be described herein. Note that, if the module is implemented via hardware, the hardware may operate independently and/or in conjunction software and/or firmware. As used herein, a module may contain one or more sub-modules, each of which may be one or more modules.

While particular combinations of various functions and features of the present invention have been expressly described herein, other combinations of these features and functions are likewise possible. The present invention is not limited by the particular examples disclosed herein and expressly incorporates these other combinations. 

What is claimed is:
 1. A computing device of a dispersed storage network (DSN), the computing device comprises: an interface; memory; and a processing module operably coupled to the memory and the interface, wherein the processing module is operable to write a set of encoded data slices to DSN memory by: identifying an encoded data slice of the set of encoded data slices for a redundant write operation to produce an identified encoded data slice; generating a set of first write requests regarding the set of encoded data slices less the identified encoded data slice; generating a set of second write requests regarding the identified encoded data slice, the set of second write requests including the identified encoded data slice and replications of the identified encoded data slice; sending the set of first write requests to storage units of the DSN memory; and sending the set of second write requests to a set of storage units of the DSN memory, wherein each storage unit of the set of storage units is sent a corresponding one of the set of second write requests.
 2. The computing device of claim 1, wherein the processing module is further operable to: receive a write response from a storage unit of the set of storage units; and send a delete write request to remaining storage units of the set of storage units.
 3. The computing device of claim 1, wherein the processing module is further operable to: receive write responses from at least some storage units of a combined set of storage units that includes the storage units and the set of storage units; and when a threshold number of write responses have been received, send a write commit command to each storage unit of the at least some storage units of the combined set of storage units.
 4. The computing device of claim 3, wherein the processing module is further operable to: determine whether the at least some storage units of the combined set of storage units include a storage unit of the set of storage units; and when the at least some storage units of the combined set of storage units includes the storage unit of the set of storage units: send the write commit command to the storage unit of the set of storage units; and send a rollback command to each remaining storage unit of the set of storage units.
 5. The computing device of claim 3, wherein the processing module is further operable to: determine whether the at least some storage units of the combined set of storage units include a storage unit of the set of storage units; and when the at least some storage units of the combined set of storage units does not include the storage unit of the set of storage units, send a rollback command to each storage unit of the set of storage units.
 6. The computing device of claim 3, wherein the processing module is further operable to: receive commit responses from the at least some storage units of the combined set of storage units that includes the storage units and the set of storage units; and when a commit threshold number of the commit responses have been received, send a write finalize command to each storage unit of the at least some storage units of the combined set of storage units.
 7. The computing device of claim 6, wherein the processing module is further operable to: determine whether the at least some storage units of the combined set of storage units that provided the commit responses include a storage unit of the set of storage units; and when the at least some storage units of the combined set of storage units that provided the commit responses includes the storage unit of the set of storage units: send a write finalize command to the storage unit of the set of storage units; and sending an undo command to each remaining storage unit of the set of storage units.
 8. The computing device of claim 6, wherein the processing module is further operable to: determine whether the at least some storage units of the combined set of storage units that provided the commit responses include a storage unit of the set of storage units; and when the at least some storage units of the combined set of storage units that provided the commit responses does not include the storage unit of the set of storage units, send an undo command to the set of storage units.
 9. The computing device of claim 1, wherein the processing module is further operable to: identify a second encoded data slice of the set of encoded data slices for the redundant write operation to produce a second identified encoded data slice; generate the set of first write requests regarding the set of encoded data slices less the identified encoded data slice and the second identified encoded data slice; generate a set of third write requests regarding the second identified encoded data slice, the set of third write requests including the second identified encoded data slice and replications of the second identified encoded data slice; and send the set of third write requests to a second set of storage units of the DSN memory, wherein each storage unit of the second set of storage units is sent a corresponding one of the set of third write requests. 